About this role
Company Description
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (15000+ experts across 26 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job Description
Role and Responsibility:
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Build Dashboards & Reports: Design, develop, and maintain interactive dashboards and reports in Tableau and/or Power BI that deliver actionable insights to business stakeholders. Own the full lifecycle from requirements gathering to published, production-grade visualizations.
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Data Analysis & Storytelling: Analyze manufacturing, operational, and financial data to identify trends, anomalies, and opportunities. Translate findings into clear, compelling visual narratives that drive decision-making across teams.
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SQL & Data Exploration: Write SQL queries in Snowflake to extract, transform, and validate data for reporting. Perform ad-hoc analyses to answer business questions and support strategic initiatives.
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Support Data Modeling: Collaborate with data engineers to define reporting requirements and contribute to dbt model development — building or modifying staging and mart models that feed dashboards and reports.
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Analytical Mindset: Strong attention to detail with the ability to spot data inconsistencies, ask the right questions, and deliver accurate, trustworthy reporting.
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Documentation & Training: Document data definitions, metric calculations, and dashboard usage guides. Provide training and support to business users to promote self-service analytics adoption. Expectation from the Candidate:
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Experience: 2+ years of experience in a data analyst, BI analyst, or reporting analyst role with a portfolio of dashboards and reports delivered to business stakeholders.
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Technical Prowess:
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Strong proficiency in Tableau and/or Power BI: calculated fields, LOD expressions (Tableau), DAX measures (Power BI), parameters, dynamic filters, row-level security, and performance optimization.
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Working knowledge of SQL for querying Snowflake: JOINs, CTEs, window functions, aggregations, and basic data transformation.
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Foundational understanding of dbt: ability to read and modify existing models, understand the staging/mart layer structure, and run dbt commands for testing and documentation.
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Familiarity with data modeling concepts: star schemas, fact/dimension tables, and how they translate into efficient dashboard data sources.
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Basic Python skills for data wrangling, automation, or extending analytics workflows (pandas, notebooks).
Qualifications
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Must have skills: Power BI (Strong), Snowflake, Tableau (Strong)
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Good to have skills: DBT, Python (Capable)