312 Data Analyst Jobs - Page 2

Responsibilities : - Data Gathering/Data Analysis/Data Modelling/Data Cleansing/Data formatting - AS IS and TO-BE business process analysis and process modelling including end-to-end data flows - Authoring data migration plan/cutover plan - Support change management activities - Supporting solution development team with data insights as required Mandatory Skills/Experience : - HCM project experience including upgrade/improvement projects - People/HR data & process knowledge and experience - Oracle HCM Cloud skills and experience - BI Dashboard skills and experience - ability to create/update - Demonstrated experience developing cutover plans/data migration plans - Ability to present complex data in easily consumable format to executive level Desirable/Preferred Skills : - R-Studio skills and experience to code level - Knowledge of coding languages - SQL, Python, R Ideal Candidate : - Strong customer facing skills - high standard of verbal/written communication skills - Self-starter with ability to work independently to lead data related work within large HCM project. - Ability to work across multiple initiatives simultaneously - Flexibility in work hours with global project team and business - Ability to work efficiently and effectively via remote work preferably working on US/Canada time zone).

Role: Data Analyst Experience: 3+ Years Location: Remote Mode : Remote (Night shift - New York Timing) Description : Excellent quantitative skills and comfort with tools such as SQL, Excel, Python, Hive, Spark etc. Proficiency with Tableau or other dashboard building tools and JIRA. Excellent organizational skills and attention to detail. Background in AdTech or Ad Platforms Strong experience with SQL and ETL pipeline building

Role & responsibilities Formulates reports highlighting different trends leading to fulfilling business goals. Analyze data sets, draw meaningful insights by presenting through excel-based charts. Coordination with cross-functional teams and conducting virtual calls daily with respective teams. Microfinance knowledge would be added advantage. Be self-motivated and looking to do additional work by spearheading additional reporting clean-up/projects. Validate various data-pulls for accuracy and completeness. Effectively communicating with the Sr. management and helping them take business decisions by transforming data to meaningful analytical reports. Very strong reporting skills couples with business intelligence to get a deep understanding of the stakeholders reporting requirements so that they can be represented simply adequately to drive operational excellence. Preferred candidate profile Language Proficiency - Telugu Should be well versed with MS Excel (Advanced) VLOOKUPS, Pivots, Conditional Formatting, Nested Ifs, COUNTIFS, SUMIFS, Data Validation, Slicers, etc. Good Communication skills Interested candidates can share their cv at nandini.singh@satincreditcare.com

Role and Responsibilities : - Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. - Mine and analyze data from company databases to drive optimization and improvement of business strategies. - Assess the effectiveness and accuracy of data sources and data gathering techniques. - Develop custom data models and algorithms to apply to data sets. - Use predictive modelling to increase and optimize business outcomes. - Work individually or with extended teams to operationalize models & algorithms into structured software, programs or operational processes. - Coordinate with different functional teams to implement models and monitor outcomes. - Develop processes and tools to monitor and analyze model performance and data accuracy. - Provide recommendations to business users based upon data/ model outcomes, and implement. recommendations including changes in operational processes, technology or data management. - Primary area of focus : PSCM/ VMI business; secondary area of focus : ICS KPI's. - Business improvements pre & post (either operational program, algorithm, model or resultant software). - Improvements measured in time and/or dollar savings. - Satisfaction score of business users (of either operational program, algorithm, model or resultant software). Qualifications And Education Requirements : - Graduate BSc/BTech in applied sciences with year 2 statistics courses. - Relevant Internship (at least 2 months) OR Relevant Certifications of Preferred Skills. Preferred Skills : - Strong problem-solving skills with an emphasis on business development. - Experience the following coding languages : 1. R or python (Data Cleaning, Statistical and Modelling packages). 2. SQL.VBA and DAX (PowerBI). - Knowledge of working with and creating data architectures. - Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. - Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications. - Excellent written and verbal communication skills for coordinating across teams. - A drive to learn and master new technologies and technique. Responsibilities : - Demonstrate a personal commitment to Quality, Health, Safety and the Environment. - Apply GET, and where appropriate Client Company's, Quality, Health, Safety & Environment Policies and Safety Management Systems. - Promote a culture of continuous improvement, and lead by example to ensure company goals are achieved and exceeded. Skills : - Analytical skills. - Negotiation. - Convincing skills. Key Competencies : - Never give up attitude. - Flexible. - Eye to detail.

Key Responsibilities: Our incentive automation tool integrates with customer database to extract raw data. Using our data processing engine, we manipulate and store summarised version of dataset in our database. Followed by building dashboards so that end users can visualize the same on their mobile devices in real time. Our Ideal Candidate: Experience 2-4 years in relevant field. Great analytical skills and has experience working with datasets. Knowledge of MongoDB and JavaScript is a big plus. Familiarity with Excel will be great. Ability to analyze existing tools and databases and provide software solution recommendations. If you enjoy working with datasets and are able to adopt to fast paced learning environment, you will find yourself right at home.

Seeking a Junior Analyst with strong Excel skills, data analysis expertise, and attention to detail to create reports and support business insights. Were hiring a Junior Analyst with 1-2 years of experience and strong Excel skills to create reports, analyze data, and support business decisions. Attention to detail and a proactive mindset are key. Apply now to be part of a data-driven team!

Role Purpose The RDA will fulfil technical, analytical and reporting tasks in support of BPs West Coast ampm Retail business. The RDA role is responsible for leading the royalty settlements process and associated 3rd party extracts. Will work multi-functionally with BPs Category Management, Finance, Technology, Price Book, and FBT teams to run reporting & billing calculations related to scan rebates and dedication promotions. You will ensure that the monthly consolidated business statement is accurate and published timely. Key Accountabilities Review and set-up of new vendors in BP systems for rebate billing purposes. Oversight and final reporting of the disqualification site list for sites not following ampm guidelines. Engage with Collaborators to set up review of the payments made and create a report and dashboard to have a view of the payments Identify trends and deficiencies for process work redundancies and improve efficiency Setup review with customers to resolve queries and discrepancies Act as a domain guide of process delivering knowledge and insight to continuously improve process Monthly reformatting of the ampm site list for the GBS (BP Global Business Services) to process tobacco payouts. Coordination of site ATM commission reporting from various sources, aggregation of data into a single monthly report, and supplying the final report to the BP technology team for sales/royalty fee adjustment. Work closely with the Order Fulfillment team to assist in Order to Cash workflow Monthly calculation of site eligibility for the COFO (Company Owned Franchise Operated) incentive/royalty reduction program. Review of bi-monthly promotional rates and deals with the Price Book team to verify accuracy. Weekly review and verification of scan rebate system reporting accuracy and coordination of any needed corrections with the BP Technology team. Monthly scan rebate and loyalty validation with the BP Category Management team to verify accuracy and resolve billing source (i.e., vendor or BP ad fund). Review, verify for completeness, and maintain monthly manufacturer rebate billing file Pull and/or prepare monthly scan and dedication supporting data for vendor billing by GBS. Prepare monthly Other Payments File for payment of rebates and/or other marketing funds to Marathon. Prepare monthly item/site level scan reporting for MSCO/COCO (BP owned) ampm sites. Format and send to BP Finance for accounting application. Download, reformat, and upload net sales, tobacco & scan transactional level promotion detail into SAP monthly. Provide weekly transactional sales data for all tobacco products to Altria and RJR in a format designated by each supplier. Processing of the weekly open items report to track paid/unpai. Education and Experience Overall 8 to 10 years of experience and At least 3 years of Retail sales or marketing analytical experience. • Strong analytical and problem-solving skills. • The ability to find and manipulate sophisticated data from several different reporting systems, identify/fix irregularities or errors, and provide insights. Collaborator engagement and incident management • Good communication skills and ability to disseminate relevant information. • Calendar focused, meeting reporting timelines and ensuring data integrity. • Someone who looks for process standardization and simplification. • A self-starter and autonomous worker. • Creative approach and problem solver. • Intermediate to advanced knowledge and usage of Excel (Xlookup (preferred) or VLOOKUP, understanding of pivot tables, VBA (basic-intermediate), power query/pivot. • Intermediate experience with SAP and AWS (Data Warehouse). Intermediate to advanced Power BI skills

Develop predictive models to accurately forecast product demand and perform SKU segmentation based on sales velocity, margin, and seasonality. Maintain high data integrity standards, ensuring accurate inputs across multiple business units and systems Required Candidate profile Bachelor’s or Master’s degree in Data Science, Business Analytics, or Supply Chain Management. Advanced skills in Excel, SQL, and BI/visualisation tools (e.g., Power BI, Tableau) Oversee MIS platforms

Job Description: Position : MIS Executive Location : Surat Experience : 3-6 year salary : 20-30k Industry : Building material manufacturing Qualification : Any graduate JOB SUMMARY - We seek a detail-oriented Sales MIS Executive to manage sales data, generate insights, and support informed decision-making for our AAC Blocks & other building material product line. 1. Data Management: - Maintain accurate sales data in CRM/systems. - Ensure data integrity, completeness, and timeliness. 2. Reporting and Analysis: - Generate daily/weekly/monthly sales reports. - Analyse sales trends, identifying opportunities and challenges. - Provide insights on sales performance, customer behaviours, and market dynamics. 3. Sales Dashboard Management: - Develop and maintain sales dashboards. 4 . Sales Team Support: - Provide sales data and insights to sales teams. - Help sales teams with data-related queries. 5. for more jobs- Google search: Glan Management Consultancy Key Skill: MIS executive, data analyst, advance excel, sales report, finance report, data entry

Role Synopsis This role is a senior-level position within a data science team, responsible for providing leadership, strategic direction, and technical expertise in the field of data science and machine learning. This role involves leading all aspects of and guiding a team of data scientists while collaborating closely with multi functional departments, such as engineering, product management, and business collaborators. The Lead Data Scientist plays a pivotal role in crafting data-driven strategies and solutions that chip in to the organization's success and growth Key Accountabilities Data Analysis and Modeling: Lead data scientists must have a confirmed foundation in data analysis and a deep understanding of various machine learning algorithms They should be able to apply these techniques to address sophisticated problems and extract valuable insights from data Out of Code computing: Use libraries that support out-of-core computing, such as Dask in Python These libraries can process data that doesn't fit into memory by reading it in smaller portions from disk Business Insight: Understanding the FDO's business objectives and aligning data initiatives with them Project Management: Being skilled in project management methodologies helps in planning and driving data science projects efficiently Machine Learning: Innovation and Strategy - Advanced Machine Learning Skills for complex models. Evaluation Collaboration and Communication: Effective communication with collaborators, Explain the modeling approach and results. Implement to privacy guidelines and recommendation with conscious balance Continuous Learning: Staying up-to-date in competitive edge. Apply methodologies to practical business challenges. Meeting with domain GPO's Data cleaning and preprocessing, analysis: The ability to clean and preprocess data effectively is a fundamental skill in any data science role Data Ethics and Privacy: Open communication with customer. Ethical considerations in algorithm design. Secure data handling, Data minimization Database Management: Proficient in database systems and SQL is required for data retrieval and storage Domain knowledge: Expertise in the domain they are working in to understand the context and requirements of the data projects better Statistical Analysis and Mathematics: Solid grasp of statistical methods and mathematical concepts is needed for data analysis, modeling, and drawing substantial insights from data Experience and Job Requirements Data Science Team plays a crucial role in driving data-informed decision-making and generating actionable insights to support the company's goals. This team is responsible for processing, analyzing, and interpreting large and complex datasets from multiple datasets to provide valuable insights and recommendations across various domains. Through advanced analytical techniques and machine learning models, the data science team helps optimize processes, predict trends, and build data-driven strategies. A bachelor's or equivalent experience or master's degree in quantitative, qualitative field such as Computer Science, Statistics, Mathematics, Physics, Engineering, or a related data field is often required Skills: Leadership role in Data Analysis, Programming proficiency in Python, SQL, Azure Databricks, Statistics & Mathematics. Leadership qualities to steer the team. Strategic direction and technical expertise Soft skills: Active listening, Translate business problems into data questions, Communication and collaboration, Presentation, Problem solving, Multi-functional, Team management, Partner management Data Sources: SAP, Concur, Salesforce, Workday, Excel files Other: Project management. Domain knowledge [Procurement, Finance, Customer], Business Insight, Critical thinking, Story telling Able to prepare analytical reports, presentations and/or visualisation dashboards to communicate findings, important metrics and insights to both technical and non-technical customers Stay up to date with industry trends, standard methodologies and new technologies in data analytics, machine learning, data science techniques.

The Data Analyst will collect, process, and analyze data to help drive strategic decisions. They will interpret complex data sets, provide insights to various departments (like Marketing, Sales, Purchase, etc.), and support business performance through data-driven solutions. Key Responsibilities: Collect, clean, and validate data from multiple internal and external sources. Analyze trends, patterns, and correlations in complex data sets. Prepare visualizations, dashboards, and reports using tools like Excel, Power BI, or Tableau. Work with Marketing and Sales teams to understand customer behavior and improve campaigns. Support the Purchase department by analyzing vendor performance, pricing, and market trends. Monitor KPIs (Key Performance Indicators) and track progress toward goals. Provide competitor analysis and benchmarking reports. Identify process improvement opportunities based on data insights. Maintain and update data systems and databases. Ensure data accuracy, integrity, and security. Preferred Qualifications: Knowledge of Python or R for data analysis. Experience in market research or competitive intelligence. Familiarity with ERP systems and CRM tools.

Job description About the Company : Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm. Role: Senior Data Analyst Experience: 5+ Years Skill Set: Data Analysis, SQL and Cloud (AWS, Azure, GCP), Retail domain exposure-must Location: Pune, Hyderabad, Gurgaon Key Requirements: Bachelors degree in Computer Science, MIS, or related fields. 6-7 years of relevant analytical experience, translating strategic vision into actionable requirements. Ability to conduct data analysis, develop and test hypotheses, and deliver insights with minimal supervision. Experience identifying and defining KPIs for business areas such as Sales, Consumer Behavior, Supply Chain, etc. Exceptional SQL skills. Experience with modern visualization tools like 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 a structured problem-solving approach. Excellent communication skills (written and verbal). Experience with agile development methodologies. Experience in retail or e-commerce domains is a plus. How to Apply: Interested candidates can share their CV at pragati.jha@gspann.com.

Looking for Data analyst Skills - Python, Data analyst, SQL, BI, any HR module, etc. Exp - 6 to 8 yrs, Pune only

Role & responsibilities Formulates reports highlighting different trends leading to fulfilling business goals. Analyze data sets, draw meaningful insights by presenting through excel-based charts. Coordination with cross-functional teams and conducting virtual calls daily with respective teams. Microfinance knowledge would be added advantage. Be self-motivated and looking to do additional work by spearheading additional reporting clean-up/projects. Validate various data-pulls for accuracy and completeness. Effectively communicating with the Sr. management and helping them take business decisions by transforming data to meaningful analytical reports. Very strong reporting skills couples with business intelligence to get a deep understanding of the stakeholders reporting requirements so that they can be represented simply adequately to drive operational excellence. Preferred candidate profile Language Proficiency - Kannada Should be well versed with MS Excel (Advanced) VLOOKUPS, Pivots, Conditional Formatting, Nested Ifs, COUNTIFS, SUMIFS, Data Validation, Slicers, etc. Good Communication skills Interested candidates can share their cv at Pooja.jain@satincreditcare.com

Apex Group is a global financial services provider with over 13,000+ staff across 50+ offices globally. We look to recruit bright, articulate, and numerate employees who are not afraid of a challenge and are prepared to work hard and love what they do. Every employee plays a part in making Apex who we are today and the more that we grow, the more important that becomes. Whatever your career path or specialism Apex provides a global platform to allow you to thrive. The Role & Key Responsibilities Maintenance of legal agreements and corporate documentation of the different product lines within the Apex Group. Drafting and negotiating client service level/master service level agreements from the templates (and creating templates when required) Contract redlining or document markup of legal documents with excellent negotiation skills Responding to day-to-day enquiries from internal stakeholders and business partners. Monitoring of relevant contractual terms and ad hoc tasks to support the Apex Group Legal Department Create, manage and update relevant corporate databases and trackers Coordinating contract execution. Skills Required An individual with a Law Degree (equivalent to LLB/LLM) At least 4-5 years of proven experience in a similar position, preferably in Funds/Financial services company or a law firm. Possess excellent communication skills, both verbally and in written form (any additional languages would be an asset Disclaimer Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.

Proficient in Power BI Experience in FMCG (Consumer healthcare) space and generating business and marketing insights from syndicated databases is highly desirable Should be familiar with databases like Iqvia and Nielsen etc. Good communication skills Requirements The requirement forthe data analyst role: Experience : 5years; Location: Gurgaon; tenure: 3 months Proficient in Power BI Experience in FMCG (Consumer healthcare) space and generating business and marketing insights from syndicated databases is highly desirable Should be familiar with databases like Iqvia and Nielsen etc. Good communication skills

To impart training and monitor the student life cycle for ensuring standard outcome. Conduct live-in person/virtual classes to train learners on Adv. Excel, Power BI, Python and adv Python libraries such as Numpy,Matplotlib, Pandas,seaborn, SciPy, SQL-MySQL, Data Analysis,basic statistical knowledge. Facilitate and support learners progress/journey to deliver personalized blended learning experience and achieve desired skill outcome Evaluate and grade learners Project Report, Project Presentation and other documents. Mentor learners during support, project and assessment sessions. Develop, validate and implement learning content, curriculum and training programs whenever applicable Liaison and support respective teams with schedule planning, learner progress, academic evaluation, learning management, etc Desired profile: 2-3 year of technical training exp in a corporate, or any ed-tech institute. (Not to source college lecturer, school teacher profile) Must be proficient in Adv. Excel, Power BI, Python and adv Python libraries such as Numpy. Matplotlib, Pandas, SciPy, Seaborn,SQL-MySQL, Data Analysis,basic statistical knowledge. Experience in training in Data Analysis Should have worked in as Data Analyst Must have good analysis or problem-solving skills Must have good communication and delivery skills Good Knowledge of Database (SQL, MySQL) Additional Advantage: Knowledge of Flask, Core Java

We are currently seeking an experienced professional to join our team in the role of Lead Assistant Vice President - Business Consulting Business: CIB COO Principal responsibilities Ability to convert business problem to an analytical problem and then finding pertinent solutions Overall business understanding of BFSI domain Providing high-quality analysis and recommendations to business problems. Efficient project management and delivery Ability to conceptualize data driven solutions for the business problem at hand for multiple businesses/region to facilitate efficient decision making Focus on driving efficiency gains and enhancement of processes. Use of data to improve customer outcomes through the provision of insight and challenge Also drive business benefit through self-initiated projects Leadership & Teamwork The person is expected to have good attitude of a team player, working with a mixed cultural team across the globe. The role may require one to liaise with different stakeholders business teams, business analysts, product owners, data engineers, platform developers etc. The person should demonstrate leadership qualities in terms of bringing the junior members up the learning curve and handholding them whenever necessary Working with an Agile mindset, using regular project management tools like Jira, Confluence, GitHub etc. to share updates and remaining on top of the work One must display good stakeholder management and collaboration skills Complete adherence to overall Management of Risk/Internal Controls/Compliance for self and the team Qualifications - External Python SQL SAS Excel Pyspark Prior project management experience with knowledge of Agile methodology and exposure to project management tools like Jira, Confluence, GITHUB Exposure to Bigdata and Hadoop data lake is a big plus Knowledge of cloud platforms like GCP, Azure, AWS is a big plus

Hiring for AVP Data Analyst with the leading Investment Bank Job Location: Bangalore Skills: Looking for some who is having experience as a Data Analyst with strong stakeholder management, communication skills, requirement gathering, Python, Pyspark, SQL, Data Reporting, Visualization, Power BI & Tableau and should have worked on data analysis and hands on coding in python and Pyspark. No Data Engineer profiles Interested can share the profile - ssathish@allegisglobalsolutions.com Qualifications Python SQL SAS Excel Pyspark Exposure to Bigdata and Hadoop data lake is a big plus Knowledge of cloud platforms like GCP, Azure, AWS is a big plus Expertise in visualization tools like Qliksense, Tableau, Power BI is good to have Desired Candidate Profile 9-14 years of experience as a Data Analyst or similar role in banking domain. Strong expertise in Data Analysis (PySpark), Data Analyst (Python), SQL, Data Reporting & Visualization (Power BI/Tableau). Proven track record of working on large datasets using big data technologies like Hadoop ecosystem. Regards, Spoorthy ssathish@allegisglobalsolutions.com

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary UX Data Analyst-1 Job Title: Analyst, Open Banking User Experience Job Family: Data Analytics About the Role: The Open Banking Business Intelligence (OB BI) team plays a pivotal role in shaping the future of Open Banking by delivering data-driven insights, automation, and analytics solutions. Our mission is to democratize access to data and enhance the user experience (UX) across all Open Banking products and services. As an Associate Analyst, you will work alongside seasoned analysts to analyze consumer journeys, funnel performance, and API-driven data to optimize user interactions within our Open Banking ecosystem. This role provides an excellent opportunity for those eager to build a career in data analytics, UX, and fintech. Key Responsibilities: - Support UX and funnel analytics by examining user interactions, conversion rates, and behavioral trends. - Assist in collecting and synthesizing data from multiple sources, including API data and Open Banking platforms. - Apply data visualization techniques to convey insights clearly using tools such as Tableau and Power BI. - Work closely with product managers and developers to identify opportunities for optimizing customer experiences. - Conduct data cleaning, exploration, and validation to ensure high-quality analysis. - Collaborate with cross-functional teams to standardize and automate reporting processes. - Participate in data-driven storytelling to make complex findings actionable. About You: - Bachelors degree in Computer Science, Data Analytics, Economics, Statistics, or a related field. - Strong analytical skills with an interest in user behavior and Open Banking trends. - Familiarity with SQL, Python, or R for data analysis is a plus. - Experience with data visualization tools like Tableau, Power BI, or Excel. - Understanding of fintech, payments, or banking ecosystems (preferred but not required). - Strong communication skills with a willingness to learn and collaborate. - Ability to work in a fast-paced environment and manage multiple projects effectively. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard s guidelines.

The Open Banking Business Intelligence (OB BI) team plays a pivotal role in shaping the future of Open Banking by delivering data-driven insights, automation, and analytics solutions. Our mission is to democratize access to data and enhance the user experience (UX) across all Open Banking products and services. As an Associate Analyst, you will work alongside seasoned analysts to analyze consumer journeys, funnel performance, and API-driven data to optimize user interactions within our Open Banking ecosystem. This role provides an excellent opportunity for those eager to build a career in data analytics, UX, and fintech. Key Responsibilities: - Support UX and funnel analytics by examining user interactions, conversion rates, and behavioral trends. - Assist in collecting and synthesizing data from multiple sources, including API data and Open Banking platforms. - Apply data visualization techniques to convey insights clearly using tools such as Tableau and Power BI. - Work closely with product managers and developers to identify opportunities for optimizing customer experiences. - Conduct data cleaning, exploration, and validation to ensure high-quality analysis. - Collaborate with cross-functional teams to standardize and automate reporting processes. - Participate in data-driven storytelling to make complex findings actionable. About You: - Bachelors degree in Computer Science, Data Analytics, Economics, Statistics, or a related field. - Strong analytical skills with an interest in user behavior and Open Banking trends. - Familiarity with SQL, Python, or R for data analysis is a plus. - Experience with data visualization tools like Tableau, Power BI, or Excel. - Understanding of fintech, payments, or banking ecosystems (preferred but not required). - Strong communication skills with a willingness to learn and collaborate. - Ability to work in a fast-paced environment and manage multiple projects effectively.

Skills : Data Anayst, SQL, Python, Workay/HCM/HRMS Location : Pune, Hyderabad Exp : 3-7 yrs

Position Name Data Analyst Total Exp: 3 (Min) - 15 (Max) Notice Period: Immediate Work Location: GURUGRAM Work Type: WFO (5 Days) Interview Rounds: 2 Rounds Interview Mode: Virtual in Teams Skill Summary: Data analysis Job Description Must have: Must Have Job Title: Data Analyst with Macro and Automation Expertise Job Description: We are seeking a skilled and detail oriented Data Analyst with a strong background in data analysis, proficiency in creating macros for report generation, and the ability to extract valuable insights from raw data files. The ideal candidate should also possess a basic knowledge of automating daily reports to streamline and optimize reporting processes. Responsibilities: 1. Conduct in depth data analysis to identify trends, patterns, and insights. 2. Develop and implement macros to automate the preparation of reports. 3. Work with raw data files to extract, transform, and load data for analysis. 4. Collaborate with cross functional teams to understand reporting requirements. 5. Generate regular and ad hoc reports, ensuring accuracy and reliability. 6. Utilize data visualization tools to present findings in a clear and understandable manner. 7. Provide recommendations based on data analysis to support business decision making. 8. Stay informed about industry trends and advancements in data analysis techniques. 9. Assist in the automation of daily reporting tasks to improve efficiency. 10. Maintain data integrity and adhere to data governance policies.

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere. Were all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter. Top 20 most downloaded apps globally, and world s #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month. Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap. Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins. A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions . We at the Premium team, work with our entire subscription revenue product suite end-to-end by building the front-end and back-end services and systems. Our goal is to ensure that our current profitable and rapidly growing subscriptions business runs flawlessly (we grew by 1000% in the last year) while empowering the org to execute on future product road maps. Our team also has a deep knowledge of Play & App store APIs and have been featured speakers at Googles subscription partner days and Google Playtime where we have detailed ways to grow and retain paying subscribers. As a Data Analyst you will help create extensive dashboards for the team and the organisation to leverage while determining the direction of the product, publish insights for the organisation, and will also help occasionally with data collection. Your primary focus will be in data visualisation, doing statistical analysis, and building high quality use demographics and user interaction funnels What you bring in: 2-4 years of experience doing quantitative analysis. Expertise in SQL querying languages Expertise in any data visualisation tools Google Data Studio etc. Extensive experience with analytical and quantitative problem solving Extensive experience in presenting complex data in a simple and high level approach The ability to communicate the results of analyses in a clear and effective manner. A fair understanding of A/B experiments and hands-on experience is a plus. The impact you will create: Collect, clean, organise, analyse and interpret application data and usage, draw insightful conclusions to enable data-driven product enhancements Create visual interpretations of data, produce graphs and charts with insightful notes and summaries Analyse customer data and assist product development in finding new innovative ways of presenting and making use of data Support the management in identifying, measuring and following up on key metrics Provide regular, accurate and comprehensive statistical reports Provide objective insight and analysis to influence decision making Keep up to date with knowledge on external market and data research, and work towards adding data points from external sources to our own data in order to create a value-added analysis Work on revenue prediction model and user segmentation model It would be great if you also have: Experience in retention, churn, cohort analysis, segmentation, and app store data Experience from working with mobile applications Experience with big data, especially in cloud services Life at Truecaller - Behind the code: https: / / www.instagram.com / lifeattruecaller / Sounds like your dream job We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. This position is based in Bangalore, India. We only accept applications in English . What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment. A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance. Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges. Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility. Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages. In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc. There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive. We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products. No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc. All those things make you who you are, and that s why we would love to meet you.

Experienced analytics professional with prior Pharma commercial analytics experience in the below practice areas - - Customer segmentation - Sales Force Effectiveness / Operations - Sizing, Alignment, Call Planning Candidate should be able to leverage various technology platforms Advanced Excel/VBA, Python/R & SQL. Statistical/data science packages expertise will be considered as an added advantage. Deliver various types of analytics projects, like Customer Segmentation, Alignment Design, Sizing, etc for delivering complex business operations projects, depending on the needs of the client. Proactively communicate, internally and externally with senior stakeholders within the team, ensuring that any issues / concerns are handled in a timely manner. Candidate should be a self-starter and be open to new learnings. Provide technical leadership/ mentorship to junior team members; groom them for additional responsibilities. Handle small and large datasets on projects efficiently and figure out the right technology to use for processing the data and delivering the analyses. Develop expertise in pharmaceutical datasets and be a champion within the team. Collaborate with other members within the team to innovate through automation / new ideas / capabilities / tools. Meaningfully communicate insights and information to a broad group of stakeholders (internal/external) through excellent oral and written communication. Must Have BE /B.Tech/M.Tech, MBA (Optional) with 3+ years of experience in pharmaceutical industry Experience in pharmaceutical commercial analytics is a must with know-how of common data-sets like IQVIA, Symphony Has worked on the following areas - - Customer segmentation - Sales Force Effectiveness / Operations - Sizing, Alignment, Call Planning Proficiency in handling small and large datasets through Excel/VBA, MS Access / SQL Server, R/Python Experience in incentive compensation practice is a must Hands-on experience on dedicated platforms & tools for concerned practice area is a must Strong presentation and communication skills