Make your mark at the world's largest HVAC company Daikin Applied is seeking a talented Sr Business Analyst - Data Products. The Sr Business Analyst - Data Products will work directly with business stakeholders and technical teams, including engineering, operations and data/analyst groups. This role is responsible for driving the end-to-end lifecycle of data product development - from requirements gathering and user story documentation to process mapping, data flow design, testing, training & Implementation. This role requires a blended skill set that combines the strengths of both business analysts (BAs) and Data Analysts (DAs). You will translate business needs into data driven solutions, bridge between stakeholders and data team, ensuring that data product deliver real business value. Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor! Location: Plymouth, MN - Hybrid What you will do: Requirements Gathering & Analysis Work with stakeholders to understand data needs and translate them into user stories or product requirements Translate business requirements into detailed user stories, acceptance criteria and data product specifications Collaborate with data engineering & architects to design scalable data solutions and data flows Responsible for leading, as well as, participating in cross-functional business projects Process Mapping & Data Flow modeling Understand and document workflows where data is produced and consumed Create process maps, data flow diagrams & systems interaction models to visualize current & future states Identify gaps, inefficiencies and opportunities for automation or enhancements Project Execution, Delivery & Support Support Agile processes - sprint planning, backlog grooming, etc. Track progress of data product development and ensure alignment with business timelines and priorities Develop high level test plans and partner with QA team to ensure data product functionality & data accuracy is optimal Support change management efforts to ensure smooth adoption of new data products Monitor performance & usage of data products post-implementation Identify opportunities for enhancements & support ongoing maintenance & optimization Stakeholder Communication & Reporting Serve as a liaison between business units and technical teams, ensuring clear and consistent communication Provide regular updates, dashboards & reports on project status, risks & outcomes (as required) Provide subject matter expertise for business customers and technical resources Establishes awareness of business process and technology solution best practices with Finance and Operations Problem Solving & Critical Thinking Evaluate competing needs, define metrics & clarify ambiguous request Able to provide high level analysis using data for ROI KPIs and impact analysis May mentor and provide guidance to junior members of the team May perform other duties of product development as assigned Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science or a related field or equivalent experience 4+ years of demonstrated experience in Data analysis, IT Business analysis, or a similar field Strong data requirements gathering and documenting skill - User Stories, etc. Familiarity with the end to end lifecycle of data products - from ideation and design to deployment and Iteration Ability to deal with ambiguity in a productive and positive manner by bringing the appropriate stakeholders together to gain clarity and consensus for next steps Experience working with cross-functional global teams, including product managers, engineers and business stakeholders Strong commitments to data accuracy, quality and continuous improvements to data product solutions Proficient in data analysis and exploration using SQL, Excel, Power Bi or similar tools. Understanding of Data Lake, Unity Catalog & Databricks workflows Understanding of data ingestion, transformation and orchestration Experience with Azure ADO or equivalent tools Experience with MS products (word, ppt, excel, etc..) Work visa sponsorship is not available for this position Preferred Qualifications: Master's degree in Computer Science, Engineering, Data Science or a related field or equivalent experience 6+ years of demonstrated experience in Data analysis, IT Business analysis, or a similar field Experience with ERP systems like Oracle EBS & SAP Experience with CRM systems Salesforce Awareness of data governance and security models in Databricks. Familiarity with Lakehouse Architecture Familiarity of Product lifecycle Certification in Business Analysis, Agile practices a plus Proficient in advance analytics skills for data Manipulation using Python, R Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements: Multiple medical insurance plan options + dental and vision insurance 401K retirement plan with employer contributions matching 100% of the first 3% of employee contributions and 50% on the next 2% of employee contributions Company provided life insurance + optional employee paid voluntary life insurance, dependent life coverage and voluntary accident coverage Short term and long-term disability 3 weeks of paid time off for new employees + 11 company paid holidays Vacation accrues on a monthly basis, unless applicable federal, state and local law requires a faster accrual Paid sick time in accordance of the federal, state and local law Paid parental leave and tuition reimbursement after 6 months of continuous service The typical annual base salary for this position ranges from $90,000 - $148,800 (+ 10-15% bonus) in Minnesota. The range displayed represents the pay range for all positions in the job grade which this position falls. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location. #LI-RS1, #LI-hybrid Equal Opportunity Employment: It is the policy of Daikin Applied to provide equal employment opportunity (EEO) to all persons regardless of race, creed, color, religion, gender, gender identification, sexual orientation, age, national origin, disability, protected veteran status, genetic information, marital status, membership or activity in a local commission, or any other characteristic protected by federal, state or local law.
