45 Domo Jobs

As a Senior Specialist in Product Management / Development at Mastercard, you will be a part of the 3DS Smart Interface Product Development team, where your primary focus will be to support commercialization and go-to-market strategies. Your role will involve bridging customer-specific initiatives with broader business expansion goals. You will be responsible for conducting data analysis for various go-to-market activities such as price modeling, revenue analysis, KPI analysis, and reporting. Your key responsibilities will include performing market need and opportunity assessments based on inputs from regional partners, global product teams, commercialization teams, customers, and competitive analysis. You will translate market needs, regulations, and insights into product strategies, business cases, and product requirements. Collaborating with subject matter experts, you will establish technical development plans aligned with the product strategy. You will also drive the execution of product development plans, including piloting new products in strategic markets and ensuring successful product transitions from development to the run phase of the life cycle. In this role, you will act as a product ambassador by effectively communicating the strategy, roadmap, and value proposition in various industry, customer, and internal forums. To excel in this position, you should have a total of 6-9 years of career experience in Technology, with at least 3-4 years of experience in Product Management/Product Development. Demonstrable expertise in product conceptualization, design, and commercialization, particularly with technical products, is essential. Additionally, a working knowledge of mobile, e-Commerce technologies, and 3DSecure would be advantageous. You should be open to learning about new technologies, including Tokenization. Proficiency in data analysis, including building KPIs and reporting (experience with Tableau, DOMO, or PowerBI preferred), is crucial for this role. You should possess excellent interpersonal skills to interact with and influence internal and external stakeholders at all levels of leadership. The ability to adapt to a fast-paced environment, manage multiple responsibilities successfully, and deliver results within a team setting are key attributes for this position. A bachelor's degree is required, while an advanced degree or MBA is preferred. Some travel, up to 15%, may be necessary. As part of Mastercard's commitment to corporate security, it is expected that you adhere to the organization's security policies and practices, maintain the confidentiality and integrity of accessed information, report any suspected security violations or breaches, and complete all mandatory security trainings as per Mastercard's guidelines. Your dedication to information security is crucial in safeguarding Mastercard's assets, information, and networks.,

Technical Manager, Business Intelligence Location : Chennai/Bangalore Experience : 15+ Years Employment Type : Full Time Role Description: We are seeking an experienced Technical Manager to lead our Business Intelligence function. This role is crucial for transforming raw data into actionable insights that drive strategic decision-making. The ideal candidate will be a thought leader in BI, adept at guiding a team, collaborating with stakeholders to understand business requirements, and leveraging advanced BI tools and methodologies to deliver impactful dashboards, reports, and analytical solutions. Responsibilities Drive the vision and strategy for Business Intelligence, promoting data-driven decision-making across the organization. Lead, mentor, and develop a team of BI developers and analysts, fostering expertise in data visualization, reporting, and analytical best practices. Oversee the design, development, and deployment of interactive dashboards, reports, and analytical applications that meet diverse business needs. Ensure that insights are presented clearly, concisely, and compellingly to various audiences, enabling effective business action. Work closely with pre-sales, sales, marketing, Data Engineering, Data Science, and other departments to identify key performance indicators (KPIs), define reporting requirements, and support data-driven initiatives. Collaborate with Data Engineering to ensure data accuracy, consistency, and reliability within BI solutions. Evaluate and recommend new BI tools, techniques, and platforms to enhance reporting capabilities and user experience. Tools & Technologies BI Platforms : Tableau, Power BI, Qlik Sense, Looker, DOMO Data Warehousing/Lakes : Snowflake, Google BigQuery, Amazon Redshift, MS Fabric SQL Databases : PostgreSQL, MySQL, SQL Server, Oracle. Data Modeling : Star Schema, Snowflake Schema, Data Vault. ETL/ELT Concepts : Understanding of data extraction, transformation, and loading processes. Programming Languages : SQL (advanced), Python (for data manipulation/analysis), R. Cloud Platforms : Experience with BI services on AWS, Azure, or GCP. Data Governance Tools : Collibra, MS Purview. Version Control: Git.

As a Client Operations Coordinator within the Client Operations Group, your main responsibility will be the day-to-day execution of client tasks. Leveraging your operational skills and knowledge, you will work towards meeting the business objectives and requirements of clients and project initiatives. In this role, it is crucial to embody a strong entrepreneurial spirit, foster a highly collaborative environment, communicate ideas effectively, adapt to changes seamlessly, and identify and capitalize on opportunities. You will provide support to the COG Operations Specialist and/or Manager during interactions with the Managed Services leadership team, ensuring accurate and timely dashboard reporting for your clients. Your role will involve executing and completing daily tasks in alignment with client objectives, updating project documentation regularly, and collaborating with COG specialists and managers to uphold project structures, goals, and resource requirements. Furthermore, you will play a key role in new client and Full-Time Employee onboarding procedures, maintaining reporting tools and documents according to client and Managed Services leadership specifications, and participating in forecasting, invoicing, and revenue estimation for Managed Services engagements. Your contribution to COG business development and growth initiatives is essential, including identifying new opportunities to enhance operational support across client engagements based on a deep understanding of clients" AML programs and operations. Additionally, your involvement in internal strategic initiatives across the COG will focus on standardizing project management and operating tasks. Qualifications for this role include a Bachelor's Degree, proficiency in project management to ensure effective management of scope, budget, and timelines for both internal and external projects, and the ability to identify and resolve potential risks and issues promptly while aligning with business objectives and requirements. Strong technical knowledge in software tools such as MS Excel, MS Word, MS PowerPoint, Domo, Tableau, and MS BI is highly preferred. Preferred qualifications for the Client Operations Coordinator position include subject matter expertise in fraud and/or sanctions, as well as an understanding or knowledge of AML regulations. Your success in this role will be amplified by your entrepreneurial spirit, collaborative nature, ability to articulate ideas clearly, agility in managing change, and aptitude for identifying and leveraging opportunities.,

As a Lead Content Strategy Analyst at Mastercard, you will be an integral part of the Content Strategy and Development (CS&D) team dedicated to providing customers and stakeholders with the necessary technical and operational information. Your primary goal will be to enhance the impact of content by ensuring it is delivered to the right audience, in the right format, and at the right time. By collaborating closely with business partners, you will gain insights into customer needs and effectively communicate timely, high-quality information across various media platforms and languages. Your responsibilities will include creating and disseminating technical content and publications related to Mastercard's products and services. This will involve managing the entire content publishing process for online, mobile, and print formats. Additionally, you will play a key role in researching, evaluating, and implementing new processes and technologies to improve content delivery methods. As part of your role, you will collaborate with cross-functional teams and Business/Product Owners to develop original content and update existing technical materials. Your accountability will extend to overseeing multiple projects within the technical writing function, ensuring adherence to CS&D writing standards, and managing the day-to-day delivery of online content through various channels. Your expertise in tools like XML or markdown will be essential for content creation and editing. You will be responsible for publishing technical content across different platforms and output types, including PDF, HTML, Wikis, and online help files. Your role will also involve analyzing requirements, contributing to process improvement solutions, providing training to new hires, and mentoring peers. Additionally, you will participate in daily project intake assessments and contribute to enhancing documentation processes within the team. To excel in this role, you should have experience with Project Management and Agile methodologies, possess excellent written and verbal communication skills, and exhibit a strong technological acumen. Your ability to recommend new tools, adapt to changing environments, and identify opportunities for process and strategy enhancements will be crucial. Moreover, your proficiency in content management systems, authoring tools, API, DITA/XML, and information architecture will be highly beneficial. As an Information Architect, you will dedicate 8 hours a week to supporting various tasks such as troubleshooting, bug reporting, and maintenance of content management systems. Your role will involve liaising with writers, advocating for business needs, and staying updated on technology trends and processes. In conclusion, as part of the Mastercard team, you will be expected to prioritize information security, adhere to security policies, maintain the confidentiality and integrity of accessed information, and report any security violations promptly. Your commitment to ongoing security training and compliance with Mastercard's guidelines is essential to safeguarding the organization's assets and networks.,

Responsibilities: * Collaborate with stakeholders on data requirements & insights delivery. * Develop dashboards using Power BI, Tableau, Looker, Sisense, Domo, Cognos, MicroStrategy, Quicksight & Zoho Analytics. Provident fund Travel allowance Assistive technologies Cafeteria

MINIMUM QUALIFICATIONS Bachelors degree from accredited university (Full Time) in Business Analytics or a related subject area 8+ years of total experience with 6+ years of relevant experience working with business stakeholders and designing analytical solutions. Extensive experience in creating interactive dashboards using Tableau (Expert) and other visualization tools (Basic) Domo, Looker, Business Objects, Advance Excel, SQL, etc. Strong communication skills, capable of translating business requests into technical requirements and articulating the pros and cons of different technologies, platforms, design and architectural options. Proficient in data and analytics tools and concepts, including dimensional modeling, ETL, reporting tools, data governance, data warehousing and both structured and unstructured data. Basic understanding of data extraction using Google Big Query, Oracle, SQL Server, SAP BW or SAP HANA Proficient at influencing without authority, skilled at advising and negotiating with business leaders to develop high value solutions. PREFERRED QUALIFICATIONS Thought-driven leadership to successfully deliver scalable team management and business solutions. Knowledge of at least one other programming language such as Python is a plus. Takes the initiative to do the right thing - doesn't walk past a problem. Consultant mindset - able to challenge with courage and influence upwards and with peers. Agile learner - has passion and curiosity to learn new things and understand the "why" Tableau desktop certification - preferred For more details please connect on Kajal.lokhande@genmills.com.

You will be responsible for collecting, analyzing, and interpreting data related to pricing projects to identify trends, issues, and opportunities for improvement. Your role includes developing and maintaining standard reports and dashboards to provide visibility into progress, risks, and performance metrics. You will plan and execute initiatives with maximum impact while ensuring minimal disruption to key stakeholders. Additionally, you will promote and process product efficacy by translating large volumes of data, testing, and experiments into clear recommendations and reports, ensuring quality, objectivity, and professionalism in your analysis. Specializing in the management of Snowflake database and SQL queries, you will work to ensure data integrity and accessibility. Your duties will also involve creating and maintaining comprehensive documentation, including business requirements, process flows, and user guides. Providing ongoing support and training to dashboard users, both internal and external, will be part of your responsibilities to address any arising issues or questions. You are required to have a Master's degree in Computer Science, Information Systems, Business Administration, or a related field, along with experience in pricing strategy. Proficiency in tools such as Vizio, Snowflake, Jira, Confluence, Salesforce, Microsoft Visual Studio, MS Power Automate, MS Teams, MS Excel, MS PowerPoint, and MS Word is essential. Additionally, experience with data visualization tools like Tableau, Power BI, and Domo, as well as proficiency in data modeling and ETL, is required. Preference will be given to candidates with analytical and quantitative problem-solving skills, along with experience in SQL, Java, R studios, and Python. As part of our team, you will have the opportunity to work in a dynamic global environment with diverse operations worldwide. nVent is a leading global provider of electrical connection and protection solutions, offering career growth opportunities and impactful work every day. Our innovative electrical solutions aim to ensure safer systems and a more secure world. We design, manufacture, market, install, and service high-performance products and solutions that connect and protect critical equipment, buildings, and processes globally. At nVent, we are committed to strengthening the communities where our employees live and work. We encourage and support philanthropic activities through our nVent in Action matching program, providing funds to nonprofit and educational organizations where our employees volunteer or donate. Our core values, including innovation, integrity, customer focus, teamwork, accountability, and optimism, shape our culture and drive us to deliver the best for our employees and customers. Join us at nVent, where we connect and protect our customers with inventive electrical solutions. We value diversity and inclusion, celebrating each other's authenticity as a catalyst for growth.,

Business Overview Roundel is Targets entry into the media business; an advertising sell-side business built on the principles of first party (people based) data, brand safe content environments and proof that our marketing programs drive business results for our clients. We operate with the ethos of trust and transparency and that media works best when it works in everyones best interest . At the very root of that, Roundel is here to drive business growth for our clients and redefine value in the industry by solving core industry challenges vs. copy current industry methods of operation. We are here to drive a key growth initiative for Target and to lead the industry to a better way of operating within the media marketplace. As the Analyst Data Strategy P&I at Roundel , you would responsible for understanding the data needs across team and would also develop and execute a roadmap to maximize data capabilities that align with the evolving needs of the P&I team. You would be the data custodian for the P&I team responsible for scaling the data function in the form of new products and services. You will also be responsible for ensuring that the data across the products is consistent with the highest standards of accuracy. You will do so by bringing your knowledge and expertise of working in a data analytics/data-centric business environment with a strong foundation in data strategy. You would work towards building new data capabilities in partnership with Roundels Product functions to enhance the reporting and insights machinery within the P&I team. You would work as a conduit between the product and P&I team to simplify data across sources to ensure data consistency and integrity and to develop new custom data products that support multiple use cases (MMM, Custom Analytics, etc.). Additionally, you will coordinate and lead both small and large working sessions withbusiness stakeholders that drive to conclusions,agreement,and outcomes. Key Responsibilities Data custodian for the P&I team to build and maintain data sets for reporting, insights, custom analytics and visualizations; creating clear documentation and managing accessible data libraries Create new data products that align with evolving P&I reporting needs and result in time and efforts savings for analysts. Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support. Data Warehousing Identify new data sets that can be integrated into existing reporting platforms to enrich our reporting & insights Continue to develop and help drive the strategy for the different data need including data architecture, reporting, insights, analytics, MMM, etc Data Quality and Reliability Develop procedures to enhance the accuracy and integrity of data by performing data analysis as well as by collaborating with product team to enhance data collection and storage procedures Ensure that the data from different sources which flows in the analyst facing products is consistent and accurate for all business use cases Ensure data accuracy, as well as reporting output quality control, as required also troubleshoot and identify root causes for data inaccuracy- manual v/s system errors Work with Cross-functional teams Product, Measurement, BII & GTM to align on the data strategy/ data roadmaps and implement solutions. Contribute to team-upskilling efforts required to familiarize them with the data products as well as also address any data challenges faced by them About You: 5-7 yrs of working experience; designing, building, and optimizing data structures for ETL processes, data wrangling & processing large data, cleaning and preparing data, querying data, and conducting exploratory analysis with a strong foundation in data strategy. Masters or bachelors degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering. Knowledge of database structures, building and improving scalable datasets, and managing data pipelines and infrastructures Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark and Scala desired but not mandatory Proven hands-on experience developing and preparing datasets for use in business intelligence (BI) tools such Domo (mandatory), Tableau, and Power BI are good to have) Knowledgeable in data models, data mining, and segmentation techniques. Background in Ad-tech or Retail Media Network Experience is desirable but not mandatory Excellent oral and written communication skills and the ability to summarize and present complex information in a clear and concise manner to technical and non-technical audience Experience and passion for using data to explain or solve complex business problems and influence the invention of new systematic and operational processes Experience working with ambiguity in a dynamic and challenging environment to drive long-term sustainable solutions Proven experience of achieving results by leading, partnering, and influencing peers and leaders

You will be joining LRN as a Revenue Operations Analyst, a key role that involves providing analytical support for the sales organization. Your primary responsibilities will include conducting critical analytic initiatives such as forecasting, KPIs, competitive analysis, and configuration projects in Salesforce. You will also be leveraging Business Intelligence tools to help build sales insights. We are looking for an individual who can bring new ideas, develop creative solutions, and demonstrate a strong skill set and passion for problem-solving and operational excellence. As a Revenue Operations Analyst at LRN, you will be expected to gather business requirements and create scorecards/dashboards that showcase meaningful KPIs and actionable intelligence for senior leaders. Your role will require a solid working knowledge of design best practices, including data modeling, data transformation, and dashboard design. Success in developing business intelligence programs that drive revenue growth and enhance sales effectiveness will be a key measure of your performance. You should possess a demonstrated ability to analyze quantitative data to evaluate tactic effectiveness, ROI, and forecasting. To qualify for this role, you should have at least 4 years of relevant work experience in business analysis, reporting, strategy, analytics, or business intelligence within a sales environment. A Bachelor's degree in Business Administration, Finance, Economics, Computer Science, or a related field is required. You should be highly organized, detail-focused, possess strong multi-tasking skills, and be efficient in navigating ambiguous situations. Proficiency in Salesforce and advanced Excel skills are essential, while experience with Domo and Tableau is highly preferred. Strategic planning abilities, effective communication skills, and the capability to balance day-to-day tasks with long-term projects are crucial for success in this role. LRN offers a competitive salary along with excellent medical benefits, including a family plan. Additionally, you will have Paid Time Off (PTO) in addition to Indian public holidays. The role provides a combined Onsite and Remote Work setup, allowing for flexibility and work-life balance. LRN is an equal opportunity employer that values diversity and is committed to fostering an inclusive environment for all employees.,

Target is one of the most loved consumer retail brands in the world. At Target, we are constantly improving and innovating our digital shopping experience. Target Plus is one such strategic business initiative offering meaningful guest experiences by bringing high demand brands, on-trend selection to Target.com. We are a one-of-a-kind marketplace, carefully curated and built keeping in mind guests' current and changing needs, along with tapping into futuristic market trends. The Category Site Merchandising team focuses on increasing digital topline sales by optimizing conversion and the overall site experience. The team plays a crucial role in ensuring findability and discoverability of products, making it easy for guests to locate and discover items. By partnering with various teams within and outside of the Digital organization, the team drives the right experience for each category. Additionally, the team is responsible for delivering financial outcomes and plans for the digital business, ensuring that financial goals are met and sustained.As a Sr Site Merchandiser, you will drive business growth through effective category management and site merchandising strategies. Your focus will be on optimizing the site experience for your category to maximize guest engagement and sales. You will collaborate closely with cross-functional teams, including merchandising, marketing, digital teams and analytics, to ensure seamless execution of category strategies and alignment with business goals. Your role is crucial in translating business objectives into actionable site merchandising tactics that enhance the digital shopping experience. Core Responsibilities: Site Experience Management: Develop site merchandising strategies focusing on conversion, findability, maximizing guest engagement, and frictionless shopping. Tactics include traffic optimization, site taxonomy and attribution management, navigation, filters, sort, internal search optimization, item-level content, cross-sell/up-sell, and item data remediation and attribution. Know and advocate for the Guest: Provide actionable insights by analyzing consumer behavior, site metrics, and demographic trends to enhance user experience. Analytics & Insights: Monitor key performance indicators (KPIs) across devices and platforms, guest behavior, and market trends. Use these insights to refine strategies, influence cross-functional teams, and inform business decisions. Provide routine reporting on performance metrics, offering deep insights for continued optimization. Cross-Functional Partnership: Collaborate effectively with stakeholders, communicate insights clearly, and contribute as an SME to align team efforts with business goals. Innovation & Continuous Improvement: Continuously identify opportunities for innovation in merchandising, technology, and processes. Proactively drive progress, improvement, and advancement to enhance guest experiences Results & Financial Accountability: Maintain a strong sense of accountability for delivering financial results, ensuring strategies drive topline sales, profitability, and guest engagement. Education/Experience: 4-year US college degree or equivalent experience4+ years relevant e-commerce experience; including site merchandising, item data, product, UX, or operations General Skills: Curiosity and Passion for Customer Experience: Demonstrates a high level of curiosity and a strong passion for understanding and enhancing customer experience. Continuously seeks to learn about customer behaviors, preferences, and trends to drive innovative solutions that delight guests. Initiative and Self-Starter: Proactively identifies opportunities for improvement and takes the initiative to implement solutions. Exhibits a self-starter attitude, consistently driving projects forward with minimal supervision and demonstrating a strong sense of ownership and accountability. Team Collaboration: Ability to work effectively within a team, fostering a collaborative and productive work environment. Strategic Thinking: Ability to contribute to the development and implementation of strategic plans that align with business goals and drive category growth. Influence and Negotiation: Skills in influencing partner roadmaps and advocating for the category across teams, ensuring alignment and support for strategic initiatives. Analytical Skills: Proficiency in gathering, analyzing, and interpreting data to make informed decisions and provide actionable insights. Effective Communication: Strong written and verbal communication skills to summarize findings, share updates, and present insights clearly to stakeholders. Adaptability: Flexibility to adapt to changing business needs and priorities, and to work effectively in a fast-paced, dynamic environment. Specialized Skills: Data & Technical Skills: Proficiency with data tools like DOMO, Adobe Analytics, google analytics. Experience in using ecommerce site optimization tools. Financial Acumen: Proficiency in tracking revenue and other key metrics to connect site performance to financial outcomes. Ability to analyze financial data to support category performance and make data-driven decisions that align with business goals. Site Optimization: Experience in optimizing site merchandising strategies to enhance guest engagement and sales.

Sr Data Analyst As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies Requirements / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualificationB.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy Data & Analytics Behind one of the worlds best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. Were also the source of the data and analytics behind Targets Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About you: Four-year degree or equivalent experience 3+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] Advanced SQL experience writing complex queries Intermediately accomplished with Python or R Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such asSQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.At Target, we have a timeless purpose and a proven strategy and that hasnt happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, whereTarget in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Behind one of the worlds best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. Were also the source of the data and analytics behind Targets Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About this career Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team Develop, model and apply analytical best practiceswhile upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions . Drive acontinuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practices and analytical acumen Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines Participate in learning forums, or be a buddy tohelp increase awareness and adoption of current technical topics relevantfor analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling) Champion participation in internal meetups, hackathons; presents in internalconferences, relevant to analytics competency Contribute the evaluation and design of relevant technicalguides andtoolstohire great talentbypartnering with talent acquisition Participate in Agile ceremonies to keep the team up-to-date on task progress,as needed Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques About you B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 years of relevant exp) Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc. Advanced SQL experience writing complex queries Hands on experience with analytics toolsHadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Experience working with Product teams and business leaders to develop product roadmaps and feature development Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Intellectually curious, high energy and a strong work ethic Comfort with ambiguity and open-ended problems in support of supply chain operations Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

Lead Data Analyst As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a part of the Merchandising Analytics and Insights team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all Merchandising strategic initiatives with data, reporting and analysis. Merchandising teams rely on this team of analysts to bring data to support decision making. PRINCIPAL DUTIES AND RESPONSIBILITIES As a Lead Data Analyst your responsibilities will be exploring data, technologies, and the application of mathematical techniques to derive business insights. Data analysts spend their time determining the best approach to gather, model, manipulate, analyze and present data. You will lead an agile team which requires active participation in ceremonies and team meetings. In this role, youll have opportunities to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education. This role specifically will support a new initiatives requiring new data and metric development. Your curiosity and ability to roll up guest level insights will be critical. The team will leveraging in store analytic data to measure the impact of promotions, product placement, or physical changes at any given store has on store operations, guest experience and purchase decisions. This new capability are still being defined, which allows for creative thinking and leadership opportunities. Job duties may change at any time due to business needs. Key Responsibilities *: Work with MC, Merch, Planning, Marketing, Digital, etc. teams to use data to identify opportunities, bridge gaps, and build advanced capabilities Partner with Product, DS, DE, etc. to determine the best approach to gather, model, manipulate, analyze and present data Develop data and metrics to support key business strategies, initiatives, and decisions Explore data, technologies, and the application of mathematical techniques to derive business insights Desired Skills & Experiences *: Ability to breakdown complex problems, identify root cause of the issue, and develop sustainable solutions Ability to influence cross-functional teams and partners at multiple levels of the organization Possess analytical skills (SQL, Python, R, etc.) to find, manipulate, and present data in meaningful ways to clients Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education About you (In terms of technical) B.E/B.Tech,M.Tech,M.Sc. , MCA - Overall 8-12 years of experience. And 6-8 years data ecosystem experience. Strong Architect of data capabilities and analytical tools. Proven experience to architect enterprise level Datawarehouse solutions and BI Implementations across Domo, Tableau & other Visualization tools. Provide expertise and ability to train and guide team to implement top design architectures to build next generation analytics Deep Big data experience. Should have solid experience in Hadoop ecosystem and its components around writing programs using Map-Reduce, experience in developing Hive and PySpark SQL and designing and developing Oozie workflows. Hands on experience in object oriented or functional programming such as Scala &/or Python/R or other open-source languages Strong foundational mathematics and statistics Experience in analytical techniques like Linear & Non-Linear Regression, Logistic Regression, Time-series models, Classification Techniques etc (In terms of soft skills for lead role) Strong stakeholder management with product teams and business leaders. Has strong problem solving, analytical skills and ability to manage ambiguity. Ability to communicate results of complex analytic findings to both technical /non-technical audiences and business leaders. Ability to lead change, work through conflict and setbacks . Experience working in an agile environment (stories, backlog refinement, sprints, etc.). Excellent attention to detail and timelines. Strong sense of ownership. Desire to continuously upskill to stay current with new technologies in the industry via formal training, peer training groups and self-directed education Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here . As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and we invest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as one Target team. At our core, our purpose is ingrained in who we are, what we value, and how we work. Its how we care, grow, and win together. About the Team Roundel, Targets retail media network, provides leading digital advertising solutions that connect brands with millions of Target guests in a premium and brand-safe environment. With deep insights from Targets customer base, Roundel helps advertisers drive engagement and measurable sales both online and in-store. As a Sr Product Ops Analyst within Roundel, you'll play a critical role in improving product performance and driving business outcomes. The role involves conducting exploratory data analysis to identify opportunities, building and maintaining key reports and dashboards, and working closely with Product Owners to detect and resolve product issues. You will also collaborate with Data Engineering and Data Science teams to implement new processes, activate predictive models, and enhance existing workflows. This position requires a strong test-and-learn mindset and the ability to navigate a fast-paced, evolving retail media landscape. Your efforts will directly support Roundels broader objectives by uncovering insights, addressing data quality issues, and ensuring products deliver consistent, high-impact results. Principal Duties & responsibilities Build reports using existing data to monitor key product metrics. Perform data analysis and research to identify opportunities for improving product performance. Support the design of product strategies and leverage technology to drive product efficiency. Partner with cross-functional teams such as Data Science, Engineering, Product Operations, and Business teams to execute key product initiatives and support Roundel products. Partner with product managers in product implementation plans and build roadmaps. Gather, review, and analyse data to answer business questions and guide decisions aimed at improving the Roundel product portfolio. Develop and monitor Product Health metrics that Product Managers use to track performance. Test, monitor, and measure new features in production to ensure they function as expected. Demonstrate comfort with ambiguity and apply a test-and-learn mindset. Analyse trends to uncover potential product issues and opportunities to enhance existing features. Proactively identify opportunities for improving product efficiency. Partner with the global Product Operations team to advocate for and implement best practices, processes, routines, and tools. Reporting/ Working relationshipsReports to Sr. Manager Prod Operations Analytics Job requirements Graduate in any discipline with 4-8 years experience in math, statistics, business Expertise in SQL querying and performing analytical operations on big data Understanding and hands on experience on visualization tools like Power BI, Domo, Lookr (or similar) Knowledge of data transformation using Python or R Passion for using data to explain or solve complex business problems and influence invention of new systematic and operational processes Problem solving skills and ability to multi-task Ability to communicate findings clearly and concisely Proven experience achieving results by leading, partnering, and influencing others Knowledge in Microsoft Excel, Word, PowerPoint (or similar) applications required

Responsibilities: Design, develop, and maintain data pipelines and ETL processes using Domo. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Implement data transformation and data warehousing solutions to support business intelligence and analytics. Optimize and troubleshoot data workflows to ensure efficiency and reliability. Develop and maintain documentation for data processes and systems. Ensure data quality and integrity through rigorous testing and validation. Monitor and manage data infrastructure to ensure optimal performance. Stay updated with industry trends and best practices in data engineering and Domo. Mandatory Skills- Domo , Data Transformation Layer (SQL, Python), Data Warehouse Layer (SQL, Python) Requirements: Bachelor's degree in computer science, Information Technology, or related field. Proven experience as a Data Engineer, with a strong focus on data transformation and data warehousing. Proficiency in Domo and its various tools and functionalities. Experience with SQL, Python, and other relevant programming languages. Strong understanding of ETL processes and data pipeline architecture. Excellent problem-solving skills and attention to detail. Ability to work independently and as part of a team. Strong communication skills to collaborate effectively with stakeholders. Preferred Qualifications: -Knowledge of data visualization and reporting tools. -Familiarity with Agile methodologies and project management tools. - Data Transformation Layer (SQL, Python) -Data Warehouse Layer (SQL, Python) Share your resume over Aarushi.Shukla@coforge.com

As Analyst/ Lead /Scientist, you will play a pivotal role in optimizing our SRE team's ability to proactively identify and resolve issues within our voice, text messaging platform infrastructure. You will leverage your expertise in AI/ML and data analysis to model system behavior, flag anomalies, and analyze large-scale datasets to drive data-driven optimization and ensure effective utilization of ML capabilities. Qualifications/Skills/Abilities Minimum Requirements Formal Education Bachelor's degree in computer science, Information Technology, or a related field with specialization in data science (or equivalent experience). Experience (type duration) 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have. Skills Proficiency in data analysis tools (e.g., SQL, Python, etc.,). Strong understanding of statistical concepts and techniques. Experience with data visualization tools (e.g., Tableau, Power BI, kibana, graphana, DOMO). Familiarity with cloud-based infrastructure and applications (e.g., AWS, Azure, GCP). Ability to work effectively in a fast-paced, collaborative environment. Experience working with large datasets, log analysis, and tools like Elastic and Domo (or similar) will be a significant advantage. Strong knowledge of AI/ML algorithms and frameworks (e.g., TensorFlow, PyTorch). Experience with anomaly detection techniques and tools. Accreditation / certifications / licenses Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Key Duties Responsibilities 1 AI/ML Model Development: Develop and implement AI/ML models to analyze system behavior, identify anomalies, and predict potential issues. 2 Collaborative Problem Solving: Work closely with SRE and DevOps teams to identify data logs, analyze system behavior, and develop AI/ML models to address issues. 3 Data Analysis and Modeling: Conduct in-depth analysis of large-scale datasets (SQL, NoSQL) to extract valuable insights and build predictive models. 4 Anomaly Detection: Develop robust anomaly detection algorithms to flag unusual system behavior and prevent potential disruptions. 5 Data-Driven Optimization: Optimize system performance and resource allocation based on data-driven insights and AI/ML recommendations. 6 ML Capability Utilization: Ensure effective integration and utilization of ML capabilities across the SRE team to enhance operational efficiency and reliability. 7 Telemetry Data Analysis: Analyze large datasets of telemetry data from various sources (e.g., call logs, performance metrics, system logs) to identify patterns, trends, and anomalies. 8 Alerting Optimization: Develop and refine alerting rules based on data-driven insights to ensure timely notification of critical issues and minimize alert fatigue. 9 Proactive Issue Identification: Leverage data analysis techniques and AI/ML models to proactively identify potential system issues or outages before they occur. 10 Root Cause Analysis: Investigate and analyze incidents to identify root causes and implement preventive measures. 11 Data Visualization: Create clear and informative visualizations to communicate findings to stakeholders and facilitate decision-making. Preferred Skills Preferred: Advanced degree in data science or a related field. Experience in the telecom domain. Certification in data science or machine learning. Required Skills 5+ years of experience in data analysis or data science, preferably in a technical or engineering environment. Telecom domain experience is good to have.

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here. Insert Pyramid & Team Overviews Add paragraph describing the scope of work About you: Four-year degree or equivalent experience 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience [add any specific analyst experience needed here] Intermediate SQL experience writing complex queries Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, S&OP planning, Forecasting models including statistical analysis Experience in analytics tools such asSQL, Excel, Hadoop, Hive, Spark, Python, R, Domo, Adobe Analytics (or Google Analytics) and/or equivalent technologies

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. Behind one of the worlds best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. Were also the source of the data and analytics behind Targets Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About the Role Join the Data Analytics (DA) team at TII across domains such as Marketing and Digital, Merchandising, Supply Chain and Logistics, Store Operations, Finance and more . Here you'll collaborate with business leaders to turn data into insights that drive strategic decisions. Youll be part of a fast-moving, high-impact environment focused on leveraging business intelligence and advanced analytics to solve real-world problems. This role combines technical expertise with business understanding to uncover and communicate actionable insights using cutting-edge statistical and analytical techniques. Key Responsibilities Partner with business teams to deliver data-driven insights and technology solutions Develop innovative analytics solutions to support strategic initiatives Use SQL and data visualization tools to analyze structured and unstructured data Apply statistical models and machine learning techniques to measure business drivers Translate complex analysis into clear, actionable recommendations Continuously explore and adopt new tools, technologies, and methodologies Qualifications Education o Bachelors in Engineering (B.Tech/B.E.) or o Masters in Statistics, Econometrics, Mathematics, or a related field Experience o 26 years of total experience o 13 years of relevant hands-on analytics experience Technical Skills Proficiency in SQL (joins, volatile tables, basic query optimization) Strong understanding of DW/BI concepts Experience with BI tools such as Tableau , Domo , MicroStrategy , or Qlik Programming experience in Python , R , or similar open-source technologies Knowledge of analytical techniques regression , time-series analysis , classification , etc. Familiarity with databases Teradata , Oracle , Hive Exposure to big data tools and frameworks like Hadoop/HDFS Preferred Experience Domain knowledge in retail , merchandising , or marketing Ability to learn new tools and adapt to evolving business needs Strong problem-solving and decision-making capabilities Excellent communication and presentation skills Curiosity-driven, detail-oriented, and collaborative mindset Proficiency in Microsoft Office Suite Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Data Analyst, Food Supply Chain ABOUT US Target is an iconic brand, a Fortune 50 company and one of Americas leading retailers. At Target, we have a visionto become the best - the best culture and brand, the best place for growth and the company with the best reputation. We offer an inclusive, collaborative and energetic work environment that rewards those who perform. We deliver engaging, innovative and on-trend experiences for our team members and our guests. We invest in our team members' futures by developing leaders and providing a breadth of opportunities for professional development. It takes the best to become the best, and we are committed to building a team that does the right thing for our guests, shareholders, team members and communities. PRIMARY FUNCTION Data Analyst, Food Supply Chain to join our team. As a part of the F&B Data Analytics team, our analysts work closely with business owners as well as technology and data product teams staffed with product owners and engineers. They support all F&B strategic initiatives with data, reporting, visualization, insights, analysis, analytics and automation. F&B teams rely on this team of analysts to bring data to support decision making. ABOUT THE JOB As a Data Analyst you will support all business areas within Food Supply Chain of Target with critical data analysis that helps field and leadership to make profitable decisions. Become a data expert or business analyst and utilize tools like decision trees, clustering, regression, time series, structural equation modeling, linear programming, SQL and OLAP. Use your skills, experience and talents to be a part of groundbreaking thinking and visionary goals. Interface with the Target business representatives and leaders to validate business requirements/requests for reporting solutions. Determine best methods in order to gather data and present information. Build reporting solutions to meet business needs. Communicate with project/team manager to share knowledge and findings. Document design and requirements for reporting solutions. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business need. ABOUT YOU: 4-year degree or equivalent experience 1+ year as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience Intermediate SQL experience writing complex queries Solid problem solving, analytical skills, data curiosity, data mining, Data creation and consolidation Support conclusions with a clear, understandable story that leverages descriptive statistics, basic inferential statistics, and data visualizations Willingness to ask questions about business objectives and the measurement needs for a project workstream, and be able to measure objectives & key results Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Knowledge of AB Testing methods, time series, regression models including statistical analysis Experience in analytics tools such asSQL, Excel, Hadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualification:B.Tech/ B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts.2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools.3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets.4. Hands on experience in R, Python, Hive or other open-source languages/database5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above6. Git source code management & experience working in an agile environment.7. Strong attention to detail, excellent diagnostic, and problem-solving skills8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn.10. Excellent communication, service orientation and strong relationship building skills11. Experience with Retail, Merchandising, Marketing will be strong addons

Job Description About 6-8 years of total experience with most of it in Financial Services and experience in Investment Management front office domain covering research, portfolio management, trading, risk, attribution, analytics etc. B. Tech / B.E. or MBA (Finance) preferred Exposure to structured software development life-cycle methodology (preferably Agile or Iterative development) & Production Support processes Experience of working with multi-cultural teams in a geographically diverse environment A good understanding of the overall investment process and data needs of investment firms Experience of working in Fixed Income - Portfolio Management, Research applications or Trading programmes. Thorough understanding of different asset classes Equity, Fund of Funds, Fixed Income, Derivatives Basic knowledge of technology, third party products and their usage within Investment Management domain Must possess working knowledge of database technologies to query / write SQL on standard databases like Oracle. Knowhow of industry technology trends and cloud technologies - AWS, APIs, Snowflake, Python etc. Must be an expert in using MS Office products like Visio and Excel Nice to have skills include Experience of working with 3rd party market data providers like Bloomberg, Reuters etc. Strong SQL Experience of working in data platforms Experience of re-engineering legacy systems Experience in client billing function or systems in investment management domain Working knowledge of reporting tools like OBIEE and other visualisation tools like Tableau, Power BI, DOMO etc We are looking for the following characteristics in the candidate Strong problem-solving skills with the ability to think laterally to arrive at a solution Must have an eye for detail and analyse/relate to the business problem in hand Excellent communication, presentation and negotiation skills Ability to develop & maintain good relationships with all business and systems stakeholders Strong customer awareness with ability to manage customer expectations Flexible and positive attitude, openness to change Self-motivation is essential, should demonstrate commitment to high quality solution. Ability to learn and quickly get familiar with a complex business and systems environment 6-8 Years of Experience with Strong SQL Good Communication Skills – For engaging with senior stakeholders Domain Skills – Strong Capital Market experience or knowledge (Pension and Derivative products) BA Skills - Good exp in BA skills like requirement gathering, data analysis, impact and gap analysis, Jira and Agile knowledge, Definition or Ready (for requirements). Technical Skills – Good SQL and BI experience.

WHAT YOU WILL WORK ON Serve as a liaison between product, engineering & data consumers by analyzing the data, finding gaps and help drive roadmap Support and troubleshoot issues (data & process), identify root cause, and proactively recommend sustainable corrective actions by collaborating with engineering/product teams Communicate actionable insights using data, often for the stakeholders and non-technical audience. Ability to write technical specifications describing requirements for data movement, transformation & quality checks WHAT YOU BRING Bachelors Degree in Computer Science, MIS, other quantitative disciplines, or related fields 3-7 years of relevant analytical experiences that can translate into defining strategic vision into requirements and working with the best engineers, product managers, and data scientists Ability to conduct data analysis, develop and test hypothesis and deliver insights with minimal supervision Experience identifying and defining KPIs using data for business areas such as Sales, Consumer Behaviour, Supply Chain etc. Exceptional SQL skills Experience with modern visualization tool stack, such as: Tableau, Power BI, Domo etc. Knowledge of open-source, big data and cloud infrastructure such as AWS, Hive, Snowflake, Presto etc. Incredible attention to detail, with structured problem-solving approach Excellent communications skills (written and verbal) Experience with agile development methodologies Experience with retail or ecommerce domains is a plus.

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Working at Target means the opportunity to help all families discover the joy of everyday life. Caring for our communities is woven into who we are, and weinvest in the places we collectively live, work and play. We prioritize relationships, fuel and develop talent by creating growth opportunities, and succeed as oneTarget team. At our core, our purpose is ingrained in who we are, what we value, and how we work. Its how we care, grow, and wintogether. A role in Merchandising Capabilities means partnering with Merchndising, technology, data science and analytics leaders to co-create solutions that maximizes business value and enables key strategies that are critical to the enterprise and for the experiences we create for our guests. Truly an owner and expert of your product and underlying processes, you will set the vision, align on the roadmap and mobilize teams to deliver needed outcomes. Given most strategies have a business impact, you will also serve as a trusted resource to guide other enterprise partners in their solutions to ensure the success and integrity of end-to-end deliverables. As a Sr. Manager, Data Analytics in Merchandising you will be responsible for reporting, analysis, automation, and data for a specific business function within our Merchandising organization. In this role, you will serve as an advocate of our data-driven culture, build an effective reporting/data/automation ecosystem that informs and influence business decisions, and provide strategic recommendations on data analytics and automation solutions in partnership with your team of Data Analysts. You will partner with stakeholders to identify and prioritize the most valuable work for your team to deliver, creating a roadmap for when work will be delivered, along with vision for the team. Through all this, you will build a high performing team through talent pipeline planning, hiring, setting clear expectations, and performance management. Youll partner closely with our Finance, Product Management, and Data Sciences partners to identify gaps in reporting and analytics offerings and democratizing data and insights as you strive to deliver. Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs. As a Sr Manager Data Analytics for Targets Merch Data Analytics team youll Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmapto drive business strategiesusing data. Interfaces with Target business representatives to validate businessrequirements/requestsfor analysis and present analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Lead the team of 5-10 analysts. Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Develop analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies About you: Undergraduate Degree in Information Technology, Computer Science, Applied Mathematics, Statistics, or related work experience Minimum of 12 years of experience in data analytics and min. 2 year as people manager. Demonstrates understanding ofcapabilitiesavailablein data and analytical tools (e.g. Hadoop, Postgres, or equivalent) and data visualization tools(e.g. Domo, PowerBI, or equivalent) Has strong problem solving, analytical, and communication skills and ability to manage ambiguity Exposure and extensive hands-on work with large data sets. Hands on experience in R, Python, Hive or other open-sourcelanguages/database Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above Git source code management & experience working in an agile environment. Strong attention to detail, excellent diagnostic, and problem-solving skills Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines Excellent communication, service orientation and strong relationship building skills Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

Sr Data Analyst As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about TII At Target, we have a timeless purpose and a proven strategy. And that hasnt happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Targets global team and has more than 4,000 team members supporting the companys global strategy and operations. As a Sr Data Analyst for Targets Merch Data Analytics team youll: Support our world-class Merchandising leadership team at Target with critical data analysis that helps Merch business team to make profitable decisions. Enable faster, smarter and more scalable decision-making to compete and win the modern retail market. Collaborate with stakeholders and understand their priorities/roadmap to drive business strategies using data. Interface with Target business representatives to validate business requirements/requests for analysis and present final analytical results. Designs, develops, and delivers analytical solutions resulting in decision support or models Gathers required data and performs data analysis to support needs. Communicate impact of proposed solutions to business partners Evaluates processes, analyzes and interprets statistical data Develop business acumen and cultivate client relationships Presents results in a manner that the business partners can understand. Translate scientific methodology to business terms. Documents analytical methodologies used in the execution of analytical projects Participate in knowledge sharing system to support iterative model builds Adheres to corporate information protection standards. Keep up to date on industry trends, best practices, and emerging methodologies / About You: ExperienceOverall 5-8 years exp and relevant 3-5 years expQualificationB.Tech / B.E. or Masters in Statistics /Econometrics/Mathematics equivalent 1. Extensive exposure to Structured Query Language (SQL), SQL Optimization and DW/BI concepts. 2. Proven hands-on experience in BI Visualization tool (i.e. Tableau, Domo, MSTR10, Qlik) with ability to learn additional vendor and proprietary visualizations tools. 3. Strong knowledge of structured (i.e. Teradata, Oracle, Hive) and unstructured databases including Hadoop Distributed File System (HDFS). Exposure and extensive hands-on work with large data sets. 4. Hands on experience in R, Python, Hive or other open-source languages/database 5. Hands on experience in any advanced analytical techniques like Regression, Time-series models, Classification Techniques, etc. and conceptual understanding of all the techniques mentioned above 6. Git source code management & experience working in an agile environment. 7. Strong attention to detail, excellent diagnostic, and problem-solving skills 8. Highly self-motivated with a strong sense of urgency to be able to work both independently and in team settings in a fast-paced environment; capability to manage urgency timelines 9. Competent and curious to ask questions and learn to fill gaps, desire to teach and learn. 10. Excellent communication, service orientation and strong relationship building skills 11. Experience with Retail, Merchandising, Marketing will be strong addons Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging