52 Retail Analytics Jobs - Page 2

Exp: 8 to 15 years Location: Gurgaon/Bengalore Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Retail Data Pricing and Strategy Analytic required with excellent comms with Retail Domain Only people from Pricing and Strategy Analytics drop their resume over navjot.kumar@wipro.com Immediate Joiners with Excellent English Comms Preferably within the retail merchandising industry Essential Hiring Skills Strong analytical and quantitative skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau). Excellent communication and interpersonal skills. Good to have Hiring Skills Ability to work collaboratively in a team environment. Strong attention to detail and commitment to accuracy. Ability to manage multiple projects and meet deadlines. Responsibilities Pricing Analysis: Conduct detailed analysis of pricing plans to ensure competitiveness and profitability. Promotional Planning: review and contribute promotional plans to drive sales Inventory Optimization: Work closely with the inventory planning team to align pricing and promotional plans Data Management: Collect, analyze, and interpret sales data Collaboration: Work closely with marketing, sales, and merchandising teams to align pricing and promotional overall business objectives. Reporting: Prepare regular reports on pricing and promotional performance. Process Improvement: Continuously evaluate and improve.

Position Overview We are seeking a dynamic and experienced Manager - Retail Analyst and Communication to join our team in Gurugram. This full-time position offers an annual salary of 14,00,000 and is ideal for individuals with a strong background in retail analytics and data visualization. As a key player in our organization, you will be responsible for driving insights that enhance our retail strategies and improve overall performance. Key Responsibilities Lead the retail analysis team to develop and implement data-driven strategies that optimize sales and enhance customer experience. Utilize data visualization tools to present complex data in a clear and actionable format for stakeholders. Conduct thorough retail analytics to identify trends, opportunities, and areas for improvement within our retail operations. Prepare and maintain Management Information Systems (MIS) reports to track performance metrics and support decision-making processes. Collaborate with cross-functional teams to ensure alignment of retail strategies with overall business objectives. Mentor and guide junior analysts, fostering a culture of continuous learning and improvement within the team. Stay updated on industry trends and best practices in retail analytics to ensure our strategies remain competitive. Qualifications The ideal candidate will possess the following qualifications: A minimum of 6 to 10 years of experience in retail analysis or a related field. Proven expertise in data visualization and analytics tools. Strong analytical skills with the ability to interpret complex data sets and translate findings into actionable insights. Excellent communication skills, both verbal and written, to effectively convey information to diverse audiences. Experience in managing teams and leading projects to successful completion. Ability to work collaboratively in a fast-paced, on-site environment. If you are passionate about retail analytics and are looking for an opportunity to make a significant impact in a thriving organization, we encourage you to apply. Join us in shaping the future of retail through data-driven decision-making!

You are invited to join Symbiosis University of Applied Sciences, Indore as a Professor, Associate Professor, or Assistant Professor in the School of Retail Management. We are looking for experienced professionals who are passionate about Retail Management, Consumer Behavior, and related subjects. To be eligible for these positions, you should have a Masters Degree or Ph.D. in Retail Management, Business Administration, Marketing, or a related field. As a Professor, you must have a minimum of 10 years of teaching or industry experience, with at least 5 years as an Associate Professor post-Ph.D. You should also have a strong research background with publications in Scopus/Web of Science indexed journals and experience in guiding Ph.D. scholars and research projects. For the role of Associate Professor, a minimum of 8 years of teaching or industry experience is required, with at least 3 years as an Assistant Professor post-Ph.D. Research experience with publications in reputed journals is essential. As an Assistant Professor, a minimum of 3 years of teaching or industry experience is necessary, and research publications in peer-reviewed journals are preferred. Industry professionals with extensive experience in retail management are also welcome to apply for Professor of Practice roles, where a Ph.D. is not mandatory. Your key responsibilities will include delivering high-quality skill-building in Retail Management, Consumer Behavior, Merchandising, and Omni-channel Retailing. You will also be expected to conduct research, publish in reputed journals, develop industry-aligned curricula, mentor students, and collaborate on industry-academia partnerships. To excel in these roles, you should have expertise in Retail Operations, E-commerce, Supply Chain, and CRM. Strong knowledge of Retail Analytics, Customer Experience Management, and Digital Transformation will be beneficial. Excellent mentoring and communication skills are essential, along with the ability to integrate industry trends into academics. If you are a passionate academician or industry professional looking to contribute to an innovative and industry-driven academic environment, we encourage you to apply with your updated CV.,

We are seeking a sharp and analytical Retail Inventory Planner to lead OTB and inventory planning across our offline stores and digital channels. The ideal candidate should bring strong retail math and data interpretation skills, with hands-on experience in managing inventory in an omnichannel setup. Responsibilities include creating and managing Open-to-Buy plans, optimizing stock levels across locations, strategic allocation based on store performance, and driving business decisions with data. Experience in fashion, jewelry, or beauty is highly preferred. Build & manage OTB plans aligned with category strategy Project demand using historical data & trends Maintain optimal stock levels across platforms Coordinate timely replenishments Collaborate with Buying/Merch to curate assortments Track sell-through and present actionable insights Partner with Marketing on markdowns & promotions Work cross-functionally across teams for execution

Exp: 7 to 15 years Location: Only Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools etc. Role and Responsibilities: - Primary day-to-day client contacts and often interact with C-level executives. - Is primary client day-to-day contact & ensures client needs are well understood, defined & met - Serves as the primary interface between senior client management and senior leadership (VPs and SVPs) - Interacts regularly with clients to understand business requirements, define analytical problems, structure and communicate solutions and ensure client satisfaction with strong business driving results - Manages / leads 1-2 engagement/ projects with different team structures and service delivery models. Responsible for driving revenue generating from these accounts - Leads project teams of 3-6 consultants or more, and/ or Team Lead and Analysts in all aspects of project execution - Plays critical role in defining the problem, structuring the solution, and executing against it - Clearly defines project deliverables, timelines and methodology laying out the project plan - Owns the execution of the project, with on time delivery every time, ensuring all project goals are met - Manages team members, including definition of objectives, oversight of execution and evaluation of performance - Provides thought leadership and delivers business insights to identify and resolve complex issues critical to their clients' success - Candidate Profile: - 7+ years of experience comprising analytics service delivery, consulting, solution design and client management - Experience and strong knowledge of the analytics service industry with focus on B2C & Omni-channel retail across customer lifecycle and customer journey - Demonstrable leadership ability, superior problem solving and people management skills - Excellent listening, written communication and presentation skills - Experience / exposure to marketing, operations, sales, merchandizing and supply chain, retail strategy, project management, cost reduction, and business development for Retail and Media organizations - Master's degree in management, data science, economics, mathematics, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : SAP ABAP Development for HANA Good to have skills : Retail AnalyticsMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will engage in the development and configuration of software systems, either managing the entire process or focusing on specific stages of the product lifecycle. Your day will involve collaborating with team members to apply your knowledge of various technologies and methodologies, ensuring that the software solutions meet client needs and project requirements. You will also be responsible for troubleshooting issues and implementing improvements to enhance system performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate knowledge sharing sessions to enhance team capabilities.- Mentor junior team members to foster their professional growth. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP ABAP Development for HANA.- Good To Have Skills: Experience with Retail Analytics.- Strong understanding of software development methodologies.- Experience in system integration and data migration.- Familiarity with agile development practices. Additional Information:- The candidate should have minimum 3 years of experience in SAP ABAP Development for HANA.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Target is an iconic brand, a Fortune 50 company and one of Americas leading retailers.Fueling the continued success of one of the worlds most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization well known for inspiring and surprising guests and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target.Roundel, Targets retail media network, offers the worlds leading advertisers industry leading digital advertising solutions. More than of American adults shop Target, which translates into incredible scale for advertisers to connect directly with our guests and deliver best-in-class marketing outcomes! We design and deliver impactful marketing for brands and their agencies resulting in engagement and incremental sales that can be measured online and in-store all in premium, brand-safe environments. About The Job The Performance & Insights (P&I) team is responsible for delivering the campaign performance and insights to advertisers. As a Senior Analyst - Performance & Insights Capability Development, you will play an integral part in shaping how Roundel advances its analytic capabilities & related processes from a measurement and reporting perspective to a) deliver more performant media plans to our clients and b ) provide deeper, more comprehensive and more actionable performance insights in the post-campaign evaluations. In this role, you will play a key role in shaping the future of media measurement strategy for roundel, esp. with focus on building an understanding role of media as key Growth Driver thru ROI and related analytics for our advertisers.You will partner closely with cross-functional teammates in the areas of PSG, Product, Strategy, Go-To-Market and Sales to formulate innovative ideas, develop proofs of concepts and contribute to the development of solution roadmaps paving the way to scaling and implementing the solutions. Success in the role will be tied to your ability to blend deep analytics and insights experience in a retail and/or digital media context, consultative problem-solving and working effectively in a matrixed, cross-functional structure. Key ResponsibilitiesBuild & codify media performance measurement strategies Collaborate with internal/external stakeholders to create capabilities and processes to drive best in-class efficiency, effectiveness to back roundels media performance Be the Subject matter expert in the measurement of marketing investment impact for advertisers using advanced analytical solutions and methods. Develop, deploy, and evangelize measurement solutions including test/control experimentation, brand lift studies, econometric models, research-based solutions, etc. Support innovative approaches for media effectiveness measurement Identity & build new approaches to measure media effectiveness efforts targeted toward varied audiences, placements and creative analysis. Supporting custom analytics projects for the P&I team to land the value of roundels media with the advertisers which the current analyst facing products dont serve. Own and create processes that enable a range of internal and external stakeholders to leverage roundel data for driving initiatives like media mix modelling Monitoring and reporting campaign performance with granular tracking across relevant KPIs, including but not limited to impressions, clicks, web visitors, video views etc Work with Cross-functional teams Product, Measurement, BII & GTM to align on the measurement strategy Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support implementation Contribute to team upskilling efforts required to familiarize the team with the data products as well as new measurement methodologies About you: 4-5 yrs of working experience in of digital advertising, client consulting and/or retail analytics experience Masters or bachelors degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering Deep expertise in digital marketing performance measurement and campaign strategy along with related KPIs Hands-on experience in applied analytics, model building and statistical method selection Experience in new solution development, including media measurement, device/app measurement, alongside expertise in incrementality measurement through various Lift studies Intermediate (or higher) capabilities with SQL, R and/or Python to source/organize data and build initial models as proofs of concept Ability to facilitate communication between business and technology teams Strong communication skills with proven ability to influence peers, key stakeholders and leaders Expert at working in an agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas) Strategic mindset and bias for action with strong ability for strategic planning, defining OKRs and driving business outcomes Useful LinksLife at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

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

Job Role: Business Analyst - Retail Aramya is a size-inclusive women's ethnic wear brand focused on delivering comfortable & beautiful daily wear at affordable prices. With $9M in funding from Z47, Accel, and marquee angel investors, were on a path of rapid expansion. Driven by in-house designing & manufacturing and deep customer insights, we have grown exponentially in the last few quarters, and we are super excited to accelerate this growth further. Were looking for a data-driven, business-oriented individual to join our team as a Business Analyst . This role is critical to unlocking growth opportunities, optimizing performance, and enabling strategic decision-making across functions. The ideal candidate will possess a strong analytical foundation, business acumen, and a passion for problem-solving. Key Responsibilities: Drive data-led decision-making by analyzing sales, inventory, and customer behavior to improve product, pricing, and store strategies. Build and maintain dashboards and reports that track key retail KPIs, enabling real-time performance visibility. Collaborate cross-functionally with merchandising, marketing, and operations to translate insights into business impact. Present strategic recommendations to leadership, influencing growth initiatives and operational efficiency. Qualifications & Skills: 2-6 years in business analytics, strategy, or data roles in a fast-paced D2C, e-commerce, or consumer tech environment. Strong command of SQL, Excel, and at least one BI tool (Power BI, Tableau, Looker, etc.). Ability to understand core business drivers and translate data into strategic decisions. Strong analytical storytelling and presentation skills to communicate insights effectively. Bachelor's in Engineering, Economics, Statistics, Business, or a related field. MBA is a plus but not mandatory. Self-starter with high ownership, detail orientation, and a bias for action

Roles & Responsibilities: Tracking of domestic and international equity markets and various global news/events To track multiple sectors Financial modelling: Build and maintain financial models; Handholding team of junior analysts with queries on building financial models, understanding of the industry/business and vetting the report before releasing to wider audience. Preparing company reports, sector notes and thematic research Attending result concalls and interacting with senior management team Tracking and analyzing regulatory changes and their impact on the sector Building and updating industry databases Developing and maintaining client marketing and presentation Conduct Webinar/Seminars for clients and internal departments ********************************************************************************************************************************************* Interested candidate can share the CV to Priyanka.R@sbicapsec.com. ***********************************************************************************************************************************************

Role: Lead Analyst (Retail Analytics) Exp: 5-10 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

Role: Senior Analyst (Retail Analytics) Exp: 3-8 years Work location: Bangalore, Chennai, Hyderabad, Pune, Mumbai, Gurgaon Mandatory Skills: SQL + Python + Tableau or PowerBI or Datorama or Looker Studio + Advanced Excel + Statistical Modelling + Retail Analytics Good to have skills: R, SAS, Deep Learning, Artificial Intelligence Interested candidates can share their profiles with bindu@logicalhiring.com References are welcome! For other open roles, please visit - www.logicalhiring.com

- Senior Analyst Performance and Insights, Roundel About us Target is an iconic brand, a Fortune 50 company and one of America s leading retailers. Fueling the continued success of one of the world s most beloved and recognized brands is a distinctly capable, creative and innovative Marketing organization well known for inspiring and surprising guests and we pride ourselves on connecting them to the products and experiences they expect and deserve from Target. Roundel, Target s retail media network, offers the world s leading advertisers industry leading digital advertising solutions. More than of American adults shop Target, which translates into incredible scale for advertisers to connect directly with our guests and deliver best-in-class marketing outcomes! We design and deliver impactful marketing for brands and their agencies resulting in engagement and incremental sales that can be measured online and in-store all in premium, brand-safe environments. About The Job The Performance & Insights (P&I) team is responsible for delivering the campaign performance and insights to advertisers. As a Senior Analyst - Performance & Insights Capability Development, you will play an integral part in shaping how Roundel advances its analytic capabilities & related processes from a measurement and reporting perspective to a) deliver more performant media plans to our clients and b ) provide deeper, more comprehensive and more actionable performance insights in the post-campaign evaluations. In this role, you will play a key role in shaping the future of media measurement strategy for roundel, esp. with focus on building an understanding role of media as key Growth Driver thru ROI and related analytics for our advertisers. You will partner closely with cross-functional teammates in the areas of PSG, Product, Strategy, Go-To-Market and Sales to formulate innovative ideas, develop proofs of concepts and contribute to the development of solution roadmaps paving the way to scaling and implementing the solutions. Success in the role will be tied to your ability to blend deep analytics and insights experience in a retail and/or digital media context, consultative problem-solving and working effectively in a matrixed, cross-functional structure. Key Responsibilities Build & codify media performance measurement strategies Collaborate with internal/external stakeholders to create capabilities and processes to drive best in-class efficiency, effectiveness to back roundel s media performance Be the Subject matter expert in the measurement of marketing investment impact for advertisers using advanced analytical solutions and methods. Develop, deploy, and evangelize measurement solutions including test/control experimentation, brand lift studies, econometric models, research-based solutions, etc. Support innovative approaches for media effectiveness measurement Identity & build new approaches to measure media effectiveness efforts targeted toward varied audiences, placements and creative analysis. Supporting custom analytics projects for the P&I team to land the value of roundels media with the advertisers which the current analyst facing products don t serve. Own and create processes that enable a range of internal and external stakeholders to leverage roundel data for driving initiatives like media mix modelling Monitoring and reporting campaign performance with granular tracking across relevant KPIs, including but not limited to impressions, clicks, web visitors, video views etc Work with Cross-functional teams - Product, Measurement, BII & GTM to align on the measurement strategy Identify automation opportunities , gaps in technology & tools and work with product and business operations team to find solutions & support implementation Contribute to team upskilling efforts required to familiarize the team with the data products as well as new measurement methodologies About you: 4-5 yrs of working experience in of digital advertising, client consulting and/or retail analytics experience Masters or bachelor s degree in one of the followingAnalytics, Business Intelligence, Economics, Engineering Deep expertise in digital marketing performance measurement and campaign strategy along with related KPIs Hands-on experience in applied analytics, model building and statistical method selection Experience in new solution development, including media measurement, device/app measurement, alongside expertise in incrementality measurement through various Lift studies Intermediate (or higher) capabilities with SQL, R and/or Python to source/organize data and build initial models as proofs of concept Ability to facilitate communication between business and technology teams Strong communication skills with proven ability to influence peers, key stakeholders and leaders Expert at working in an agile environment (e.g. user stories, iterative development, scrum teams, sprints, personas) Strategic mindset and bias for action with strong ability for strategic planning, defining OKRs and driving business outcomes Useful Links Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Overview about Target in India At Target, we have a timeless purpose and a proven strategy. And that hasn t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. About the Role As a Senior RBX Data Specialist at Target in India, involves the end-to-end management of data, encompassing building and maintaining pipelines through ETL/ELT and data modeling, ensuring data accuracy and system performance, and resolving data flow issues. It also requires analyzing data to generate insights, creating visualizations for stakeholders, automating processes for efficiency, and effective collaboration across both business and technical teams. You will also answer ad-hoc questions from your business users by conducting quick analysis on relevant data, identify trends and correlations, and form hypotheses to explain the observations. Some of this will lead to bigger projects of increased complexity, where you will have to work as a part of a bigger team, but also independently execute specific tasks. Finally, you are expected to always adhere to project schedule and technical rigor as well as requirements for documentation, code versioning, etc Key Responsibilities Data Pipeline and MaintenanceMonitor data pipelines and warehousing systems to ensure optimal health and performance. Ensure data integrity and accuracy throughout the data lifecycle. Incident Management and ResolutionDrive the resolution of data incidents and document their causes and fixes, collaborating with teams to prevent recurrence. Automation and Process ImprovementIdentify and implement automation opportunities and Data Ops best practices to enhance the efficiency, reliability, and scalability of data processes. Collaboration and CommunicationWork closely with data teams and stakeholders, to understand data pipeline architecture and dependencies, ensuring timely and accurate data delivery while effectively communicating data issues and participating in relevant discussions. Data Quality and GovernanceImplement and enforce data quality standards, monitor metrics for improvement, and support data governance by ensuring policy compliance. Documentation and ReportingCreate and maintain clear and concise documentation of data pipelines, processes, and troubleshooting steps. Develop and generate reports on data operations performance and key metrics. Core responsibilities are described within this job description. Job duties may change at any time due to business needs. About You B.Tech / B.E. or equivalent (completed) degree 5+ years of relevant work experience Experience in Marketing/Customer/Loyalty/Retail analytics is preferable Exposure to A/B testing Familiarity with big data technologies, data languages and visualization tools Exposure to languages such as Python and R for data analysis and modelling Proficiency in SQL for data extraction, manipulation, and analysis, with experience in big data query frameworks such as Hive, Presto, SQL, or BigQuery Solid foundation knowledge in mathematics, statistics, and predictive modelling techniques, including Linear Regression, Logistic Regression, time-series models, and classification techniques. Ability to simplify complex technical and analytical methodologies for easier comprehension for broad audiences. Ability to identify process and tool improvements and implement change Excellent written and verbal English communication skills for Global working Motivation to initiate, build and maintain global partnerships Ability to function in group and/or individual settings. Willing and able to work from our office location (Bangalore HQ) as required by business needs and brand initiatives Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits Culture- https://india.target.com/life-at-target/belonging

About us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. At Target, we have a timeless purpose and a proven strategy and that hasn t happened by accident. Some of the best minds from diverse backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target s global team and has more than 4,000 team members supporting the company s global strategy and operations. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values diverse backgrounds. We believe your unique perspective is important, and you'll build relationships by being authentic and respectful. At Target, inclusion is part of the core value. We aim to create equitable experiences for all, regardless of their dimensions of difference. As an equal opportunity employer, Target provides diverse opportunities for everyone to grow and win Behind one of the world s best loved brands is a uniquely capable and brilliant team of data scientists, engineers and analysts. The Target Data & Analytics team creates the tools and data products to sustainably educate and enable our business partners to make great data-based decisions at Target. We help develop the technology that personalizes the guest experience, from product recommendations to relevant ad content. We re also the source of the data and analytics behind Target s Internet of Things (iOT) applications, fraud detection, Supply Chain optimization and demand forecasting. We play a key role in identifying the test-and-measure or A/B test opportunities that continuously help Target improve the guest experience, whether they love to shop in stores or at Target.com. About this career Role is about being passionate about data, analysis, metrics development, feature experimentation and its application to improve both business strategies, as well as support to GSCL operations team Develop, model and apply analytical best practices while upskilling and coaching others on new and emerging technologies to raise the bar for performance in analysis by sharing with others (clients, peers, etc.) well documented analytical solutions . Drive a continuous improvement mindset by seeking out new ways to solve problems through formal trainings, peer interactions and industry publications to continually improve technically, implement best practices and analytical acumen Be expert in specific business domain, self-directed and drive execution towards outcomes, understand business inter-dependencies, conduct detailed problem solving, remediate obstacles, use independent judgement and decision making to deliver as per product scope, provide inputs to establish product/ project timelines Participate in learning forums, or be a buddy to help increase awareness and adoption of current technical topics relevant for analytics competency e.g. Tools (R, Python); exploratory & descriptive techniques ( basic statistics and modelling) Champion participation in internal meetups, hackathons; presents in internal conferences, relevant to analytics competency Contribute the evaluation and design of relevant technical guides and tools to hire great talent by partnering with talent acquisition Participate in Agile ceremonies to keep the team up-to-date on task progress, as needed Develop and analyse data reports/Dashboards/pipelines, do RCA and troubleshooting of issues that arise using exploratory and systemic techniques About you B.E/B.Tech (2-3 years of relevant exp), M.Tech, M.Sc. , MCA (+2 years of relevant exp) Candidates with strong domain knowledge and relevant experience in Supply Chain / Retails analytics would be highly preferred Strong data understanding inference of patterns, root cause, statistical analysis, understanding forecasting/predictive modelling, , etc. Advanced SQL experience writing complex queries Hands on experience with analytics toolsHadoop, Hive, Spark, Python, R, Domo and/or equivalent technologies Experience working with Product teams and business leaders to develop product roadmaps and feature development Able to support conclusions with analytical evidence using descriptive stats, inferential stats and data visualizations Strong analytical, problem solving, and conceptual skills. Demonstrated ability to work with ambiguous problem definitions, recognize dependencies and deliver impact solutions through logical problem solving and technical ideations Excellent communication skills with the ability to speak to both business and technical teams, and translate ideas between them Intellectually curious, high energy and a strong work ethic Comfort with ambiguity and open-ended problems in support of supply chain operations Useful Links- Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits

Sales support specialist is an iterative process across the sales stages (1-7) of providing the sales, bid and Capgemini client teams with the resources they need during the sales process. These resources may include content support (customized and standard), references, tools, market information and knowledge support to effectively sell your product or service to customers and deliver high quality proposal responses (proactive and reactive). Some of the roles that include as a part of this category are Proposal Support, Knowledge Managers, Market and Business intelligenceSales support specialist ensure Proposal Quality delivered to the customer, help with industrialization of knowledge management for faster turnaround on content, provide business and market insights which includes competition insights, industry insights, stakeholder profiling - Grade Specific Responsible to provide standard and relevant client deliverable content 10 75 ME EurosUSDBring best content into proposals through administration of knowledge, content management document management. Ensure customized outcomes and market watch reports from analyst as required by the sales and bid manager for strategic inputs towards the bid or sales conversations. Ensure regular and active content contribution towards the industrialization effort Skills (competencies) Networking Active Listening Portfolio Strategy Adaptability Problem Solving Analytical Thinking Project Management Business Acumen Relationship Building Business Case Development Relationship-Based Selling Client Centricity Risk Management Collaboration Sales Analytics Continuous Learning Sales Budget Management CxO Conversations Sales Forecasting Data Visualization Sales Performance Data-Driven Decision-Making Sales Pitching Emotional Intelligence Sales Planning Ethical Reasoning Sales Process Optimization Executive Presence Sales Reporting Ideation Sales Strategy Management Industry Knowledge Stakeholder Management Influencing Storytelling Innovation Teamwork Market Analysis Time Management Value Creation Verbal Communication Written Communication

Job Description: Development and maintenance of reporting tools, mainly Looker. Knowledge of Looker is good to have. Technical expert & day-to-day development together with support engineers. Assist design overall instance architecture to minimize duplicate work, optimize speed, and provide a clear, streamlined end-user experience Collaborate with data analysts, data scientists, data engineers, product managers, and business stakeholders across the organization. Ensure the delivery of reliable software and data pipelines using data engineering best practices, including secure automation, version control, continuous integration/delivery, proper testing. A commitment to teamwork and excellent business and interpersonal skills are essential. You will be an essential part of our growing data engineering and analytics team and be responsible for our technological and architectural vision. The Ideal Candidate: Has a minimum of 3 years practical experience in data reporting and engineering for business intelligence platforms especially in Looker. Has a bachelor s degree in computer science, data science, engineering, physical sciences, or other related field. Excellent skills with SQL as well as distributed source control such as GIT in an Agile- Scrum environment. Experience with LookML, python is a plus. Experience with administration of BI administration tasks such as cloud setup, instance setup and upgrading, backup creation and disaster recovery, etc. Has a strong understanding of dimensional modelling and data warehousing methodologies. Excellent at identifying root-cause issues behind data discrepancies. Is able to optimize SQL queries both directly and through BI-tool generation to minimize processing time required for insights. Is aligned with the latest data trends and ways to simplify data insights. Is passionate about data and the insights that large amounts of data sets can provide Experience within retail analytics is a plus.

Job Title: Data Scientist (2.5-4.5 Years). Location : Bangalore (India) Job Role: Investigate the feasibility of applying scientific principles and concepts to business problems. Develop new algorithms independently to solve well defined retail problems and improve existing algorithms. Work with product team to implement new modules, maintain and release production pipelines in timely and responsible manner. Develop POCs based on new ideas or technology, popularize new innovations in retail and analytics with internal/external stakeholders. Collaborate with Data Engineering, Advisory and Product team to find scope of improvement and drive right processes. Mandatory Skills: Retail Experience & Business Acumen(Even if its 30-50% of overall experience at least one retail project) Experience in optimization projects or Pulp / Gurobipy / LP. Classic ML Experience One model built in sole capacity end to end Good SQL / Python Hands on experience (PySpark is a plus)

Key Responsibilities Analytics (Data & Insights): Analyze category and activity performance using advanced analytics methods. Deliver actionable insights using transactional, financial, and customer data. Design and measure experiments and pilots. Lead projects in clustering, forecasting, and causal impact analysis. Build intuitive dashboards to represent insights effectively. Operational Excellence: Improve data quality with automation tools. Develop analytical solutions and dashboards using user-centric design. Benchmark against industry standards and enhance business performance. Stakeholder Management: Collaborate with consultants, engineers, and cross-functional teams. Communicate complex insights in an understandable format. Create clear documentation linking business needs to data solutions. Promote a data-driven culture and share learnings across teams. Qualifications & Experience Education: Bachelors degree in Finance, Mathematics, Statistics, Engineering, or a related analytical discipline. Experience: 7+ years in a data analytics or quantitative role. Experience with Python, SQL, Spark, and handling large data volumes. Experience leading projects or small teams. Strong communication skills (English). Behavioral Competencies: Delivery excellence Innovation and agility Business acumen Social intelligence Technical Knowledge & Tools Retail, Supply Chain, Marketing, Customer Analytics Statistical Modeling & Time Series Analysis Python, PySpark, R MySQL, Microsoft SQL Server Power BI Azure, AWS, GCP

Role Description: Retail / CPG domain experience is a must have. Quick commerce (optional) Functional Knowledge Required: Category / Product Analytics (Must have): Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Customer Analytics (Must have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Geo-Spatial Analytics (Good to have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization. Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python , R, Azure Databricks, SQL , etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics

Role & responsibilities Required Skills: Business Domain Skills: Trade Promotion Management (TPM) , Trade Promotion Optimization (TPO) , Trade Spend Efficiency Promotion Depth, Frequency, Forecasting, Scenario and Effectiveness Price Pack Architecture, Pricing Elasticity and Price Sensitivity Competitive Price tracking, benchmarking and effectiveness Revenue Growth Management, Category and Channel Growth, Market Entry and New Product Pricing Financial Modeling, Dynamic pricing implementation AI & Machine Learning for Pricing Technical Skills: Proficiency in programming languages like Python and R for data manipulation and analysis Expertise in machine learning algorithms and statistical modeling techniques Familiarity with data warehousing and data pipelines Experience with data visualization tools like Tableau or Power BI Experience in Cloud platforms (e.g., ADF, Data bricks, Azure) and their AI services. Consulting Skills: Hypothesis-driven problem solving Go-to-market pricing and revenue growth execution Advisory, Presentation, Data Storytelling Project Leadership and Execution Typical Work Environment: Own delivery of RGM solutions, ensuring high-quality deliverables and measurable business outcomes for clients. Collaborative work with cross-functional teams across sales, marketing, and product development Stakeholder Management, Team Handling Fast-paced environment with a focus on delivering timely insights to support business decisions Excellent problem-solving skills and ability to address complex technical challenges. Effective communication skills to collaborate with cross-functional teams and stakeholders. Potential to work on multiple projects simultaneously, prioritizing tasks based on business impact Preferred candidate profile Experience and Qualification: Overall, 8 to 10 years of experience in Retail/CPG Analytics with 2 to 4 years of experience in RGM products/services within the Retail/CPG industry. Expertise in Pricing, Promotions, Price Pack Architecture, Trade Spend etc. Experience in engaging senior business stakeholders (VP/C-level) in strategic discussions. Good understanding of application of AI in building and delivering RGM solutions and underlying technology Understanding and experience working in Agile methodologies Degree in Data Science, Computer Science with data science specialization Masters in business administration in Marketing and Analytics preferred

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP ABAP Development for HANA Good to have skills : Retail Analytics Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop solutions that align with business needs and requirements. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Expected to provide solutions to problems that apply across multiple teams Lead and mentor junior team members Conduct regular team meetings to discuss progress and challenges Stay updated on industry trends and best practices Professional & Technical Skills: Must To Have Skills: Proficiency in SAP ABAP Development for HANA Good To Have Skills: Experience with Retail Analytics Strong understanding of SAP ABAP Development for HANA Experience in designing and implementing SAP solutions Knowledge of SAP HANA database architecture Ability to troubleshoot and debug complex SAP applications Additional Information: The candidate should have a minimum of 12 years of experience in SAP ABAP Development for HANA This position is based at our Gurugram office A 15 years full-time education is required Qualification 15 years full time education

please attach your upated resume if interested on the below role Job Title: Associate / Data Analyst / Sr. Data Analyst Function: Data & Analytics Location: Gurgoan DLF Cyber Hub Experience Required: 3to5 years for Sr. Data Analyst About the Role We are seeking highly motivated individuals for the position of Associate Data Analyst / Data Analyst / Sr. Data Analyst to join our global Data & Analytics team. You will work on high-impact projects, collaborating with cross-functional departments like Marketing, Merchandising, Technology, and Business Units to deliver analytical solutions that drive business performance. This is an excellent opportunity to work in a fast-paced, data-driven environment and make a measurable impact through insights and automation. Key Responsibilities Data & Insights Clean, process, and analyze large datasets to ensure data quality and consistency Identify trends and patterns to provide actionable business insights Create business requirement documents, use cases, user stories, and test cases for analytics projects Design and build impactful dashboards and data visualizations using BI tools Provide ad-hoc data analysis and reports for leadership Operational Excellence Improve data quality through automation and validation tools Develop user-centric dashboards and analytical solutions Benchmark industry practices to create business performance improvement strategies Stakeholder Management Collaborate with data engineers, consultants, and cross-functional teams throughout the analytics lifecycle Communicate insights and complex data concepts to non-technical stakeholders Prepare and maintain comprehensive documentation of analytics solutions Share key learnings across teams to enhance overall data maturity Desired Candidate Profile Education Bachelors Degree in Computer Science, Information Management, Statistics, or a related technical field Technical Skills Strong knowledge of SQL, Python, PySpark Experience with data visualization tools like Power BI, Tableau, Alteryx Understanding of statistical modeling, time series analysis Experience with relational (MySQL, MS SQL) and non-relational (MongoDB, DynamoDB) databases Familiarity with cloud platforms (Azure, AWS, GCP) for analytics Soft Skills Strong analytical and problem-solving skills Excellent communication and stakeholder management Agile and innovative mindset Focus on delivery excellence

Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and opportunities for improvement. Power BI Dashboard Development: Design, develop, and maintain advanced Power BI dashboards and reports, leveraging large and diverse datasets from multiple sources. Should be fluent in writing DAX and doing performance optimisation of dashboards. SQL Coding: Strong expertise in SQL , preferably on Databricks. PySpark knowledge is good to have. Stakeholder Communication: Present findings and recommendations to senior management, creating compelling PowerPoint decks. Domain: Exposure to the Retail/FMCG industry is preferred Data Governance: Implement and manage data governance policies to ensure data security, integrity, and compliance.