Project Role Description : Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Translate business needs into technology-enabled solutions and operating models. Support transformation by developing business cases and guiding implementation of key initiatives.
Must have skills : Data Analytics
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education
As a Business Architect, you will identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions. Your typical day will involve collaborating with various stakeholders to translate business needs into technology-enabled solutions and operating models. You will support transformation initiatives by developing comprehensive business cases and guiding the implementation of key projects, ensuring alignment with organizational goals and objectives. Engaging with cross-functional teams, you will facilitate discussions that drive innovation and efficiency, ultimately contributing to the overall success of the organization. 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. - Provide solutions to problems for their immediate team and across multiple teams. - Facilitate workshops and meetings to gather requirements and foster collaboration. - Analyze business processes and recommend improvements to enhance efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Analytics. - Strong analytical skills to interpret complex data sets and derive actionable insights. - Experience with data visualization tools to present findings effectively. - Ability to develop and implement data-driven strategies that align with business objectives. - Familiarity with statistical analysis techniques to support decision-making. Additional Information: - The candidate should have minimum 7.5 years of experience in Data Analytics. - This position is based at our Chennai office. - A 15 years full time education is required. Experience: 6–10+ years of progressive experience in data engineering, ETL/ELT, enterprise reporting, and analytics, with demonstrated leadership responsibilities. Job Summary We are seeking an Associate Manager – Data Engineering & Analytics with mandatory Retail domain experience, strong hands-on expertise in Snowflake, ETL/ELT development, Python, and enterprise reporting platforms, along with proven experience working with Oracle Retail systems. This role requires a blend of technical depth and people leadership, including leading small teams, owning end-to-end data solutions, and collaborating closely with retail business stakeholders to deliver scalable, high-quality analytics solutions that support operational and strategic decision-making. Key Responsibilities Technical & Delivery Leadership Design, develop, and maintain ETL/ELT pipelines for retail data across multiple source systems Build, optimize, and manage data models and transformations in Snowflake Develop and support enterprise dashboards and reports using Power BI, Looker, or similar BI tools Work extensively with retail business domains including sales, pricing, promotions, inventory, and merchandising Integrate data from Oracle Retail applications or similar systems into enterprise data platforms Ensure data quality, consistency, and performance across data pipelines and reporting layers Collaborate with retail business stakeholders (merchandising, pricing, supply chain, finance) to gather and translate requirements Troubleshoot and resolve ETL, data, and reporting issues Document data pipelines, business logic, and reporting definitions Adhere to data governance, security, and compliance standards Drive analytics solutions across key retail domains including: o Sales o Pricing & Promotions o Inventory & Supply Chain o Merchandising & Finance Lead the integration of data from Oracle Retail applications into enterprise data platforms, including: o RMS (Retail Merchandising System) o RPM (Retail Price Management) o ReSA or o Modules similar to above Team & Stakeholder Management Lead and mentor a small team of data engineers/reporting developers, providing technical guidance and best practices Lead requirements gathering sessions, solution design discussions, and technical reviews with cross-functional teams Translate complex business requirements into clear, actionable technical solutions Governance & Operations Troubleshoot and resolve complex ETL, data, and reporting issues Ensure adherence to data governance, security, and compliance standards Drive and maintain technical documentation, including data pipelines, business logic, and reporting definitions Required Skills & Qualifications Technical Skills (Must Have) Strong hands-on experience in ETL/ELT development Mandatory: Advanced working experience with Snowflake o SQL development o Data modeling o Performance tuning and optimization Strong Python experience for: o Data engineering pipelines o Automation and orchestration o Data transformations and analytics Advanced SQL skills and strong data warehousing fundamentals Experience with enterprise reporting and visualization tools like: o Power BI o Looker o Tableau Experience building data pipelines on cloud platforms: o Azure, AWS, or GCP Domain & Application Experience (Must Have) Experience working with Oracle Retail systems (or similar systems), such as: o RMS o RPM o ReSA Soft Skills Strong communication skills with the ability to engage effectively with senior business and technical stakeholders Proven analytical and problem-solving capabilities Ability to work independently while leading cross-functional teams Strong documentation, ownership mindset, and stakeholder management skills15 years full time education
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