BI Specialist(Tableau Developer) - R01554143

Bangalore, Karnataka, India
AI & Data Engineering – AI & Data Engineering : Insights & Analytics /
Employee /
Hybrid
BI Specialist

Experience- 5 to 8yrs only
Location - GGN,Hyd, Pune, Bangalore, Chennai

Primary Skills

    • Tableau, SQL, Tableau Prep, Advanced SQL

Specialization

    • Tableau Development: Data Specialist

Job requirements

    • Roles & Responsibilities:
    • ● Engage with stakeholders, analyze the requirements and interpret them and build foundation models, dashboards & reports
    • ● Design, build and maintain data pipelines for collecting and processing sales data
    • ● Integrate data from various sources such as CRM, ERP & other custom sources into centralized systems for analysis
    • ● Build transformations specific to Sales such as pipeline snapshots, sales funnel metrics, conversion, sales productivity, MQLs, meetings & pipeline metrics etc.,
    • ● Work with cross functional teams, collaborating with team and ensure to follow architectural standards & guidelines
    • ● Ensure data accuracy, consistency and integrity across systems
    • ● Implement data integrity, security and governance within the data warehouse

    • Qualifications:
    • ● At least 6-8 years of experience in one of the functional areas of Sales and Marketing
    • ● Strong reporting skills with Tableau desktop
    • ● Strong skills with Snowflake SQL or any other data platforms
    • ● Expertise in using DbT Framework and building foundation models
    • ● Strong SQL skills with any RDMS database
    • ● Expertise in real time data warehouse model design, star & snowflake modeling, Slowly changing dimensions, snapshotting etc.,
    • ● Experience with Shell scripting, Python scripting & API framework is a plus
    • ● Experience with GitHub, JIRA, Agile methodologies & other productivity tools
    • ● Experience with CI/CD DevOps including using tools such as: GitHub, Jira
    • ● Experience working directly with product owners and business partners
    • ● Comfortable with ambiguity and effective with minimal guidance