Business Systems Analyst (Finance)

Responsibilities

    Define and document scope, schedule and success criteria of the analytics product
    Drive requirements, use cases, user stories in agile tool (example JIRA) and prioritize the work. Develop functional designs for specific functional areas for major enhancements or projects, perform functional testing. Communicate to stakeholders with clarity, and transparency
    Become a go to person and a technology advisor for specific analytics products
    Be curious, constantly understand “tough questions”, “Use cases” from business stakeholders and guide team to productize those
    Perform Exploratory data analysis, statistical/hypothesis testing to identify, validate or invalidate correlations between key input and output variables, share insights with business partners
    Adequate understanding of AI to drive AI use cases, high level models, and features to collaborate with Data Science team
    Partner with data engineering, and business stakeholders to establish requirements and data models for follow up projects to act on or sustain insights discovered in initial study
    Hands-on and detail oriented with data and visualization. Expert in Tabalue Visualization tool
    Communication with stakeholders, and individual users with new features, best practices, and Product usage
    Manage data product life cycle
    Collaborate with IT and business team spread globally

Qualifications

    Passion for data is a must
    Bachelor's/Masters degree in business, Information Systems or engineering including mathematics and Statistics or other quantitative/STEM domain from a top institution required
    6+ years’ experience in similar role supporting cross-functional business units globally
    Strong data analytics background with a demonstrated ability to translate business needs into impactful outcomes.
    Experience is building Analytics products and executive metrics desirable
    Experince and understanding of the data lifecycle; sourcing, ingestion, maintenance, removal
    Experience in handling Data Security and Governance
    Working Knowledge on Python/EDA for data analysis techniques like Regressions, classification, Anomaly detection, Hypothesis testing and experience to apply them during data analysis
    Exceptional independent problem solving skills, attention to detail, flexibility, and ability to collaborate with others and to work in a fast-paced environment
    Exposure to end-to-end enterprise business processes across Finance, etc. in a cloud-based business model.
    Experience on enterprises applications like Oracle Fusion , Oracle R12 ,Oracle PBCS , Salesforce, either of the applications are preferred.
    Strong experience in a modern agile development methodology (familiarity with Kanban, Scrum, Lean, etc)
    Experience in producing delightful and intuitive data visualization using Tableau / powerBI or similar tools that provide key insights to drive business decisions
    Able to understand the complex data model and connect to various data sources like SFDC, Exasol, Google Big Query and AWS (Nice to have)
    Working with varied IT teams to resolve dependencies and impediments
    Comfortable with ambiguity
    Ability to work some flexible hours due to varying time zones