Tech Lead - Business Analyst Job

7-10 Years

• 7-10 years of experience in Data & Analytics projects


• Expertise in MDM data mappings, analysis and configuration


• Work with SME to understand the functional requirements


• Ability to lead the requirements and prepare data mapping sheets


• Good analytical and strong trouble shooting skills


• Good in data profiling and understand the data pattern


• Ability to understand the data model and entity relationship


• Strong working knowledge in SQL, ETL and Data warehousing Good to have work experience in Snowflake


• Ability to do Functional testing and publishing the metrics Involve in system testing and UAT for data validation


• Good to have domain knowledge in Manufacturing area, Preferably BOM subject area Excellent communication and strong interpersonal skills


• Technical writing experience in relevant areas, including queries, reports, and presentations


• Data modelling, data sampling experience - good to have created data mapping documents.


• Experience in Agile Scrum development environment.


• Experience in creating User stories, product backlogs and attend scrum events.


• Able to schedule calls with business users to understand requirements and communicate to development team.


• Provide assistance to development team technically to understand business logics.


• Work directly with business stakeholders and users to gather requirements, provide status updates, and build relationships


• Proven analytics skills, including mining, evaluation, and visualization


• Strong SQL or Excel skills, with aptitude for learning other analytics tools


• Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution


• Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity.


• Develop and maintain databases by acquiring data from primary and secondary sources, and build scripts that will make our data evaluation process more flexible or scalable across datasets


• Project roadmap, scheduling, PMO updates, conflict resolution