2059 Dashboards Jobs - Page 43

The AI/Data Engineer will be responsible for designing, implementing, and maintaining scalable data solutions. This role will involve working with various data tools and technologies to ensure efficient data processing, integration, and visualization. Key Responsibilities: Develop and maintain data pipelines and ETL processes to ingest and transform data from multiple sources. Design, implement, and manage data models and databases using SQL. Utilize Python for data manipulation, analysis, and automation tasks. Administer and automate processes on Linux systems using shell scripting and tools like Putty. Schedule and monitor jobs using Control-M or similar scheduling tools. Create interactive dashboards and reports using Tableau and Power BI to support data-driven decision-making. Collaborate with data scientists and analysts to support AI/ML model deployment and integration. Ensure data quality, integrity, and security across all data processes. Utilize version control software, such as Git and Bitbucket, to manage and track code changes effectively. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. At least 3 years of proven experience as a Data Engineer, AI Engineer, or similar role. Proficiency in Python and SQL.

Project description As a Business Analyst, you will play a key role in understanding and translating business requirements into technical solutions. Working closely with stakeholders, you will analyze and document business processes related to commercial lending, identify areas for improvement, and collaborate with cross-functional teams to implement effective solutions. You will bring a combination of business acumen, analytical skills, and a deep understanding of commercial lending practices. Responsibilities GatheringCollaborate with business stakeholders to understand and document requirements. Conduct interviews, workshops, and surveys to gather information from various stakeholders. Analysis and DocumentationAnalyze and document existing processes, workflows, and business rules. Identify areas for process improvement, efficiency gains, and risk mitigation. Data AnalysisWork with large datasets to extract meaningful insights Analyze credit risk, loan portfolio trends, and other relevant financial metrics. Solution DesignDevelop detailed business requirements and specifications for commercial lending system enhancements. Collaborate with IT and development teams to design and implement technical solutions. Stakeholder CollaborationFacilitate communication and collaboration between business users, IT teams, and other relevant departments. Provide ongoing support and clarification on requirements throughout the project lifecycle. Testing and Quality AssuranceParticipate in testing activities to ensure that proposed solutions meet business requirements. Conduct user acceptance testing and facilitate the resolution of any identified issues. Continuous ImprovementStay informed about industry trends and best practices Proactively identify opportunities for continuous improvement in processes and systems. Skills Must have At least 6 years of experience as a Business Analyst Core Business Analysis Skills Proven experience in requirement elicitation, documentation (BRD), and stakeholder management Strong skills in workflow mapping, solution design, and process modeling Experience working across cross-functional teams in agile and hybrid delivery models Domain Expertise Solid understanding of banking products across Assets and Liabilities Deep knowledge of Bank Balance Sheet structure and financial statement interactions Familiarity with the Basel III regulatory framework, especially metrics like: LCR (Liquidity Coverage Ratio) NSFR (Net Stable Funding Ratio) Leverage Ratio, RWA (Risk-Weighted Assets), CET1 (Common Equity Tier 1) Data Engineering & Analytical Skills Hands-on ability to write SQL queries, work with large datasets, and perform data validation and reconciliation Understanding of data modeling, ETL processes, and data pipeline design Comfort with exploring and manipulating structured data from sources like EDWs, data lakes, and relational databases Reporting & Visualization Strong proficiency in Tableau: Developing dashboards and data visualizations Optimizing performance for large datasets Implementing calculated fields, parameters, and interactive visuals Bonus / Nice-to-Have Skills Exposure to AWS, especially in the context of data querying or migration projects Nice to have N/A Other Languages EnglishC1 Advanced Seniority Senior

Project description We have a strong partnership with the leading bank in Australia across Treasury, Core Banking, and Technical Services offerings. Our purpose is to shape a world where people and communities thrive. That's why we strive to create a balanced, sustainable economy in which everyone can take part and build a better life. By helping people make the most of what they have, we transform ideas, hard work, and ambition into reality. Career development means different things to different people. It may simply mean developing a skill, broadening your experience by moving sideways, or stretching yourself by moving to a different business. ResponsibilitiesSplunk PEEP requires strong expertise in developing queries, dashboards, and Python scripting. Providing innovative thought process and challenging the status quo whilst understanding the regulatory requirements of the Bank, including a focus on automation and simplification. Comfortable building trusted and productive relationships across the organization with a strong ability to influence and succeed through collaboration. Proven ability to deliver in a complex and fast-paced environment. Competence in effective communication across a range of audiences. Ability to identify continuous improvement opportunities and propose solutions to simplify and automate existing processes. A strong work ethic with a focus on excellence and attention to detail. Must be self-initiating and self-managing. An appreciation and motivation to learn of all aspects of compliance and operational risk. Knowledge of LINUX and Python SkillsMust have Overall 5 to 7 years of experience as a Splunk Developer and 4+ years in Python development Experience in UI development with strong knowledge of Splunk UI, SPL, Splunk Configuration, Splunk Integration, Splunk Setup, Splunk Upgrade Strong development experience in Python 3 Experience with Windows server environment Knowledge of LINUX and shell scripting Nice to have Good exposure to CI/CD Bamboo, git, etc. Experience with CI/CD/test automation toolkits. Strong analytical skills to diagnose problem statements, perform root cause analysis, propose and implement technical solutions, and test changes. Ability to work in a fast-paced Agile environment. Understanding of Financial Markets domain and financial Markets data such as Orders, Trades, Market data, etc. Knowledge of Regulatory & Compliance and trade surveillance functions is an advantage. Since Migration from Splunk 8 to 9, creating forwarders, Index and configuration, splunk programming languages knowledge in Python scripts for migarating from Version 2 to 3. OtherLanguagesEnglishC2 Proficient SenioritySenior

SAP Analytics Cloud -Planning, SAP ANALYTICS designer, SAP-P with in planning, forecasting, forecast adjustments and integrating generated forecasts with upstream processes, reports, and dashboards to support critical business KPIs.

We are seeking a skilled Database Specialist with strong expertise in Time-Series Databases, specifically Loki for logs, InfluxDB, and Splunk for metrics. The ideal candidate will have a solid background in query languages, Grafana, Alert Manager, and Prometheus. This role involves managing and optimizing time-series databases, ensuring efficient data storage, retrieval, and visualization. Key Responsibilities: Design, implement, and maintain time-series databases using Loki, InfluxDB, and Splunk to store and manage high-velocity time-series data. Develop efficient data ingestion pipelines for time-series data from various sources (e.g., IoT devices, application logs, metrics). Optimize database performance for high write and read throughput, ensuring low latency and high availability. Implement and manage retention policies, downsampling, and data compression strategies to optimize storage and query performance. Collaborate with DevOps and infrastructure teams to deploy and scale time-series databases in cloud or on-premise environments. Build and maintain dashboards and visualization tools (e.g., Grafana) for monitoring and analyzing time-series data. Troubleshoot and resolve issues related to data ingestion, storage, and query performance. Work with development teams to integrate time-series databases into applications and services. Ensure data security, backup, and disaster recovery mechanisms are in place for time-series databases. Stay updated with the latest advancements in time-series database technologies and recommend improvements to existing systems. Key Skills: Strong expertise in Time-Series Databases with Loki (for logs), InfluxDB, and Splunk (for metrics).

About the Job We are changing the way people think about customer service, and we need your help! We are seeking a Senior Financial Analyst to join our Finance team. Were looking for someone with the vision, experience and passion to make a tangible contribution to our entrepreneurial culture. The ideal candidate will have an analytical mindset and a drive to deliver accurate results for our management team and clients. As a Senior Financial Analyst, You Will Manages financial planning, budgeting, and forecasting for key expense accounts, including but not limited to salaries & fringe benefits, occupancy, systems, marketing, and travel across the global departments. Creates variance analysis reports and financial models for executive consumption and decision making. Leads real-time financial performance monitoring. Escalates any financial issues to management. Provide recommendations to department leaders and executive to improve financial performance execution on key areas of spend. Provide recommendations to improve forecast accuracy and timeliness. Develop new processes and models to capture and report on data more efficiently. Presents detailed monthly financial reports to managers. Uses popular financial planning and analysis software to build reporting, dashboards, specific to each department receiving support. Collaborates with senior members of the accounting and finance teams, as well as department leaders who are responsible for significant spend As a Senior Financial Analyst, You Have... Post-secondary education in Finance 3-5 years of experience in a related field Proficiency in IFRS Expertise in management reporting Advanced Excel skills Familiarity with financial modeling tools Experience with ERP Systems, specifically Oracle (NetSuite) Ability to work 3 PM to 12 AM from our campus in Hyderabad Analytical and problem solving experience with attention to detail Proven ability to work effectively in a team environment as well as independently with minimal supervision Proven interpersonal and communication skills to develop internal relationships/ partnerships with multiple stakeholders Exceptional organizational and multitasking skills, with the ability to complete tasks quickly in a high energy environment

Main Responsibilities Responsible for working with business/product owner and gathering requirements Define HOOs, Skills, IVR prompts, priorities and other configuration details Define requirements around WFM and QM Consolidate and simplify IVR flows by optimizing flows Define best practices for prompts for chat and self-service Creating stories and sub tasks in Jira, attach documentation to stories Obtain approvals from product owners in timely manner Work with offshore developers and get requirements built Conduct workshops and present demos of work completed, gather feedback and update stories Work with SMEs and architects to document dependencies Work closely with the internal teams to understand current needs, identify the desired process models and solution architecture Lead, facilitate and provide business expertise Contribute to project plans, to obtain approval for detailed plans and resource estimates Present weekly status reports to leadership Must Have: 5+ years of experience in leading CCaaS platform such as Genesys , NICE or Avaya 2+ years of extensive hands-on experience on WFM, Reports, Dashboards, Contact center SLAs Knowledge of Jira and Scrum Must have overview of integrations such as I/P output parameters, real time/batch integrations etc. Good understanding of SDLC Nice to have o Hands on development experience on any leading contact center platform

Associate - Project Management Operations : Elevate Your Impact Through Innovation and Learning Evalueserve is a global leader in delivering innovative and sustainable solutions to a diverse range of clients, including over 30% of Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, artificial intelligence, and unparalleled subject matter expertise to elevate our clients' business impact and strategic decision-making. Our team of over 4, 500 talented professionals operates in countries such as India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets like Colombia, the Middle East, and the rest of Asia-Pacific. Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK in 2022, we offer a dynamic, growth-oriented, and meritocracy-based culture that prioritizes continuous learning and skill development, work-life balance, and equal opportunity for all. What you will be doing at Evalueserve: Strong logical and analytical skills Creating dashboards and reports using advanced excel Creating and Maintaining MIS tracker e.g. forecast reports, revenue reports, timesheet reports, productivity reports, quality reports Consolidating utilization reports, staffing, and productivity report for the team Updating Presentation e.g. monthly updates of client relationship overview Experience in creating Ad-hoc reports, data-driven subscription reports Invoicing/Invoice Follow-ups Client related governance presentations Plan and conduct internal quality audits Client visit arrangement and Itinerary coordination Create tools, templates, SOP/training manuals, process documents, etc. Coordination with senior management and follow-ups Ability to work with cross-functional teams General coordination within the group What we are looking at: Graduates from a reputed institute in any field Minimum 2 years of experience managing MIS reporting Advanced Microsoft Excel, Microsoft PowerPoint, Microsoft Word, and Outlook Good Communication Skills (oral and written) VBA and Power BI would be added advantage Disclaimer: The following job description serves as an informative reference for the tasks you may be required to perform. However, it does not constitute an integral component of your employment agreement and is subject to periodic modifications to align with evolving circumstances.

Project Manager IoT at MaxPark Pvt Ltd Location: Hyderabad (WFO) Experience Required: 2-4 years Employment Type: Full-time About Us MaxPark delivers innovative IoT and AI/ALPR-powered parking solutions realtime slot monitoring, app-based booking, analytics dashboards, barrier controls, EVcharging support, and theft/violation alerts. We're transforming urban parking across India Role Overview As an IoT Project Manager, you'll lead the endtoend delivery of hardwaresoftware integrations, including sensor networks, gateway connectivity, camera streaming, and cloud/mobile platforms that enable MaxPark smart parking ecosystem. Key Responsibilities 1.Project Leadership Define scope, timelines, and cost estimates. Lead planning, monitoring, and execution using Agile/Scrum (Jira, Confluence). Own project delivery against SLAs and quality benchmarks. 2.IoT Implementation Oversight Supervise deployment of IoT edge devices (sensors, gateways, cameras). Manage firmware updates and hardware health monitoring. Coordinate camera streaming integrations (ALPR, occupancy detection). Explore barrier/RFID controls as part of access and payment integration. Collaborate with hardware vendors, firmware engineers, software developers, field ops. Ensure seamless data flow from device cloud mobile/web dashboards. Communicate project status, risk to senior management. Manage vendor partnerships and procurement cycles. Conduct user acceptance tests and field validations. Develop SoWs, test plans, device specifications, and deployment manuals. Generate periodic analytics and status reports for internal/external stakeholders. Qualifications & Skills Category Details Education Bachelor's in Engineering, Tech, or related field Experience 2-4 years in IoT / Industry 4.0 projects Tools Agile (Any work management tool) Soft Skills Strong communication, vendor management, client-facing leadership Why Join MaxPark? Impact Bring Smart Cityready parking solutions to life with IoT & AI. Growth Work across hardware, software, and cloud domains. Innovation Shape the future of urban infrastructure and EVcharging ecosystems. How to Apply Submit your CV and brief cover letter specifying: Years of IoT-specific project delivery experience, especially with field devices or camera integration. Examples of multidisciplinary coordination (hardware, cloud, mobile). Send to: lavanya@maxpark.ai with subject line IoT Project Manager Application Maxpark Pvt Ltd"

ANZEN Technologies Private Limited. stands as an unparalleled powerhouse, empowering organizations across industries with our visionary services, cutting-edge solutions, and ground-breaking services in the realm of Cyber Security, IT Governance, Risk Management, and Compliance. As your trusted partner, we offer a comprehensive suite of End-to-End security services and consultancy, tailored to safeguard critical infrastructure installations, elevate the standards of BFSI, eCommerce, IT/ITES, Pharmaceuticals, and an array of other sectors. Job Summary: We are looking for a proactive and detail-oriented MIS Executive with strong proficiency in Microsoft Office tools. The ideal candidate will have hands-on experience in preparing dashboards, PowerPoint presentations, and Word documents, and will support data-driven decision-making across departments. Key Responsibilities: Create and maintain dashboards using MS Excel to track key performance indicators. Prepare professional PowerPoint presentations for internal and external stakeholders. Draft and format Word documents including reports, summaries, and SOPs. Collect, organize, and analyze data to support business operations. Create, maintain and optimize excel based reports and dashboards Use advance excel functions such as VLOOKUP, INDEX-MATCH, pivot tables , power query, and power pivot. Automate repetitive tasks using macros and VBA scripting. Analyse large data sets to identify trends , patterns , and insights. Ensure accuracy and consistency in MIS reporting. Collaborate with cross-functional teams to gather data and insights. Assist in automating reports and improving reporting processes. Required Skills & Qualifications: 1-2 years of experience in MIS or data reporting roles. Strong knowledge of MS Office tools: Excel : Pivot Tables, Charts, Formulas, Conditional Formatting, Interactive dashboard. PowerPoint : Slide design, animations, formatting, presentation. Word : Document formatting, tables, templates. Good analytical and problem-solving skills. Attention to detail and ability to work independently. Effective communication and time management skills. Notice period : 15-20 days

Exp 5 to 10 years ServiceNow UI/UX Developer - Design, develop, and maintain responsive and accessible UI components in ServiceNow using HTML, CSS, JavaScript, and the Service Portal framework. Collaborate with product owners, business analysts, and backend developers to translate user requirements into functional and visually appealing ServiceNow solutions. Customize and enhance ServiceNow Service Portal, Workspaces, Catalog Items, and Dashboards. Apply UI/UX best practices to improve usability, accessibility, and performance across ServiceNow applications. Ensure consistency with brand standards and design systems across all ServiceNow interfaces. Troubleshoot and resolve UI issues and defects. Stay updated on the latest ServiceNow platform capabilities, UX frameworks, and industry trends.

: Job Title AI/ML and Knowledge Management LocationMumbai, India Corporate Title: Assistant Vice President Role Description The AI/ML and Knowledge Management team will drive the build of 1 LOD data analytics and knowledge management capability, with a view towards supporting a proactive risk management function. The candidate will take active responsibility in developing solutions to achieve strategic and business objectives. The candidate will provide technical expertise and use large language models (AI/ML) effectively to build solutions to ensure continuous development of risk MI, data models for Risk and Control assessments, regulatory sentiment analysis, and knowledge management for Technology Risk across CB, IB and Ops divisions. The 1st line Tech Risk function for business divisions (CB, IB and Ops) at Deutsche Bank sits within the Divisional Control Office. CB and IB front to back have the largest footprint as a risk bearing function within the banking divisions and you will be part of a dynamic team which is consistently in demand for providing insights, assessments and managing IT and IS risks on behalf of the business. As part of the team, you will join the Banks journey and contribute towards our strategic goal of managing technology risk within appetite whilst enabling adoption of emerging and new technologies for business growth. You will do so through promoting a data-enabled risk management function, that provides business division aligned insights for informed decision making. The role will work closely with stakeholders within the team and in business divisions to gather requirements and provide innovative solutions for risk insights and analytics capabilities. This role will report directly to the AI/ML and Knowledge Management Lead and has no line management responsibilities. What well offer you 100% reimbursement under child care assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Accident and Term life Insurance Your key responsibilities Establish and maintain a risk reporting model for IT and IS risk. This includes operational and risk dashboards for senior management views. Develop a knowledge management model which helps create a structured and indexable central repository for regulatory responses and presentations for various councils. Leverage opportunities to design innovative solutions that facilitate the periodic Risk and Control assessments with singular view of contextual and reference data. Develop process models that aid intelligent response production for multiple and global regulatory and external queries. Be a catalyst and an enabler for sustainable IT&IS risk reduction in-line with changing regulatory landscape and overall internal controls framework. Partner with reporting functions in other teams to ensure alignment with business needs and group risk management framework. Your skills and experience Minimum 5 years experience in Data Analytics - designing and implementation of data models and creating meaningful dashboards that drive insights. Overall experience in similar roles in a Technology division or in a Banking Technology division or IT audit in a cross-cultural and diverse operating environment Good understanding of Industry best practices over how risk data or AI models are defined, and data quality and integrity is maintained. Programming Language Python, MS SQL and Data analytics and visualization tools Tableau, SAP objects, Informatica, Alteryx. Experience in developing data standards, processes, and policies, as well as developing and implementing enterprise data strategies, operational data stores and data quality tools. Experience with dimensional modeling, change data capture methods and implementation of data warehouse and data lake house architectures. Strong team player with a result-oriented mindset and ability to deliver under tight timelines. Must be comfortable with navigating ambiguity to extract meaningful risk insights. How well support you

Job Title: Digital Marketing Renewals Operations Specialist APAC Location: Noida Job Type: 12 months contract initial Introduction: We are seeking a highly motivated and detail-oriented Digital Marketing Renewals Operations Specialist to drive and optimize renewal operations across the APAC region. In this role, you will work closely with regional Renewal Sales Specialists, collaborate with cross-functional teams, and manage the operational aspects of the Renewals Book of Business (RBOB). You will be responsible for ensuring timely renewal closures, providing accurate forecasts, and managing attrition risks while continuously improving operational processes. Initially, this is an individual contributor role with the opportunity for growth and development. Key Responsibilities: Renewal Operations Management: Drive end-to-end renewal operations for Digital Marketing across APAC, ensuring accurate and timely forecasting of renewal performance. Collaborate with Renewal Sales Specialists and Renewals Leads throughout the renewal sales cycle, providing guidance and support. Develop and track risk mitigation plans in partnership with Renewals Leads to address potential attrition risks in future quarters. Attrition Management & Reporting: Provide weekly attrition outlook to APAC leadership and global finance, ensuring accuracy in forecasts and reporting. Partner with the Credit team to track and manage out-of-cycle attrition risks, preventing last-minute surprises. Conduct quarterly reconciliation of recurring revenue attrition with Data Operations and Global Finance to ensure accuracy in performance reporting. Operational Efficiency & Process Improvement: Continuously work to streamline and improve operational processes for renewals, driving efficiency and effectiveness across the APAC region. Participate in User Acceptance Testing (UAT) for new tools and systems to enhance operational capabilities. Ensure timely renewal closures within the quarter to meet quarterly targets related to attrition plans and budget. Cross-functional Collaboration: Engage with internal stakeholders, including Sales, CSMs, OM, Deal Desk, Contracts, Sales Operations, Finance, and others, to resolve operational challenges and ensure smooth execution of renewals. Collaborate with business partners to identify and resolve issues affecting renewals, driving continuous improvement. Forecasting & Performance Management: Provide timely and accurate forecasts of renewal performance for the current and next quarter. Analyze key performance indicators (KPIs) related to renewals and attrition, ensuring ongoing monitoring and reporting to senior management. Develop and deliver clear, actionable reports on renewals and attrition, using CRM tools and Excel dashboards. Key Requirements: Educational Background: Bachelors degree or equivalent in a numerate, technical, or business discipline. Experience: Minimum of 2-5 years experience in a similar or related role, such as Sales Operations, Renewals Sales, Account Management, Inside Sales, or business forecasting. Renewal Operations Knowledge: Experience with pipeline management, deal drafting, retention offers/programs, discount structuring, business unit approvals, and renewal-related processes. Analytical Skills: Strong critical thinking abilities with the capability to analyze issues, make decisions, and solve problems independently. Reporting & Tools Proficiency: High proficiency in MS Excel (including creating dashboards and automating reports) and CRM tools (e.g., Salesforce, SFDC). Time Management: Ability to manage multiple tasks effectively, prioritize based on changing business needs, and meet deadlines in a fast-paced environment. Interpersonal Skills: Strong influencing and communication skills, with the ability to build trust-based relationships and collaborate across teams. Preferred Qualifications: Renewals/Sales Operations Experience: Proven track record of driving renewals or sales operations, with a strong understanding of the operational aspects of renewals management. Advanced Excel Skills: Strong expertise in creating and automating reports, dashboards, and performance metrics. Contract Knowledge: Familiarity with contract reviews, negotiations, and legal/financial governance processes. Operational Support Delivery Knowledge: Understanding of operational support delivery business processes and systems. Key Attributes for Success: Strong problem-solving and critical thinking skills. Ability to work autonomously and manage multiple priorities in a dynamic environment. Focus on operational efficiency and continuous process improvement. Results-oriented mindset, with a strong drive to meet targets and deliver outcomes. Excellent interpersonal and communication skills, capable of influencing decisions across teams. Why Join Us? Opportunity to work in a fast-paced, dynamic environment across the APAC region. Collaborate with a wide range of cross-functional teams and stakeholders. Drive impactful change and operational improvements within a growing business. Career growth opportunities and the chance to contribute to the development of the organizations renewal operations strategy. How to Apply: To apply, please submit your resume and cover letter outlining your relevant experience and qualifications for the Digital Marketing Renewals Operations Specialist role. This job description provides an overview of the core responsibilities and qualifications for the role. The position is key in driving operational efficiency and collaboration within the Digital Marketing renewals team, making it an exciting opportunity for those with a strong operational background and a passion for process optimization.

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role Summary The Business Analyst will be responsible for analyzing data using Excel, Python, and SQL, conducting customer and sales data analysis, and utilizing various data tools and ETL processes. The role also involves performing customer journey analytics, creating funnels, and automating workflows using Microsoft Flow (Power Automate). Effective stakeholder management and clear communication of insights via dashboards and reports are key aspects of this role. The ideal candidate will have a strong understanding of analytics tools, as well as experience in leading projects. Role & responsibilities Analyse and interpret data using MS Excel, Python, and SQL to provide actionable insights Conduct customer analytics and sales data analysis to identify trends and opportunities Utilize various data tools and ETL processes for data wrangling from multiple sources Perform customer journey analytics and create funnels to understand user behaviour using Adobe Analytics, Google Analytics and AWS Quick sight Create and manage workflows using Microsoft Flow (Power Automate) & other tools to automate business processes Collaborate with stakeholders to understand business needs and translate them into data-driven solutions Develop and maintain dashboards and reports to track key performance indicators (KPIs) Present findings and recommendations to stakeholders in a clear and concise manner Preferred candidate profile Bachelor's degree in business, Engineering, Data Science, Statistics, or a related field 2-4 years of experience in data analysis, preferably in a business analytics role Proficiency in Excel, Python, SQL, Adobe Analytics, Microsoft Flow, Databricks Experience with customer analytics, sales data analysis, and customer journey analytics Strong analytical and problem-solving skills & excellent communication and presentation skills Ability to manage multiple stakeholders and prioritize tasks effectively Detail-oriented with a strong focus on accuracy and quality Excellent analytical and problem-solving skill Ability to work independently and as part of a team Ability to work under pressure and meet deadlines

Role & responsibilities:- Proficient in Advance Excel Assist with communication and insights on L&D training with business process owners and partners using processes and data governance tools Extract data and measure against training targets and requirements for interventions Participate in periodic reviews, audits, and assessments Support targets and critical initiatives, plus support deployments Ensure that data is accurate by conducting audits and identifying trends that may indicate problems with data quality Ensure that data is available when needed by creating a regular data backup mechanism Conduct data cleansing activities Review data sources to identify opportunities for efficiency improvements within an organization Create guidelines for data structure to ensure consistency in how information is stored, organized, and accessed Define business data models for each identified business source. This includes determining business entities and business attributes for each business data source Develop and maintain databases, and data systems reorganizing data in a readable format Perform analysis to assess the quality and meaning of data Filter and clean training data by retrieving from LMS and publish reports regularly Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction Prepare reports for the management stating trends, patterns, and predictions using relevant data Preferred candidate profile:- Strong mathematical skills to help collect, measure, organize and analyze data Knowledge of Analytics tools like Microsoft Excel Demonstrated experience in handling large data sets and relational databases Experience in making advance excel dashboards

Role & responsibilities:- Proficient in Advance Excel Proficient in communication skills in order to connect with stakeholder/external vendors Manage & Arrange frequent L&D Training initiatives for Inhouse Trainers Oversee end-to-end AEP Journey on Apple LMS platform, coordinating program device distribution Assist as the primary point of contact for participants, addressing queries & facilitating discussions Drive all the Program responsibilities around scheduling and delivery activities, including but not limited to, online sessions, webinars, evaluations, etc. Assist with communication and insights on L&D training with business process owners and partners using processes and data governance tools Collaborate with stakeholders to assess learning needs and priorities Strategize monthly training programs in collaboration with external Brand Trainers & stakeholders leading to enhanced quality of training content Managed accurate records of training attendance, feedback, & performance evaluations to identify training gaps Support the implementation of induction training plan & learning development initiatives for TRiBE by Croma store, including cross-functional training programs Identify, design and share dashboards on progress and impact of learning & development initiatives at defined frequency Skills Required:- Strong communication skills to help connect, organize and execute stakeholder relationships Knowledge of Analytics tools like Microsoft Excel Experience in making monthly training planner