BI Analyst

Posted 3 Days Ago
Be an Early Applicant
Chennai, Tamil Nadu, IND
In-Office
Mid level
Information Technology • Marketing Tech • Analytics
The Role
Build and support end-to-end Power BI dashboards, datasets, data models, and reporting solutions using BigQuery and SQL. Develop transformation pipelines, automate reporting, manage refreshes, security, workspaces, and deployment processes, and improve data quality and performance. Partner with business stakeholders to define metrics, investigate data issues, and document solutions. Support Gen AI analytics use cases and mentor junior analysts.
Summary Generated by Built In

OneMagnify is an AI native, platform-enabled B2B digital agency operating at the intersection of data, technology, and creativity. We help complex organizations drive measurable business outcomes by building smarter customer experiences and delivering highly integrated solutions across digital, media, and technology. By combining deep industry expertise with advanced analytics and artificial intelligence, we enable our clients to make better decisions, move faster, and compete more effectively in dynamic markets.

The Impact You’ll Have:

We are hiring a BI Analyst to own the design, build and support of Power BI reporting for business teams across Manufacturing, Supply Chain, Credit, Mobility, Connected Vehicle and Warranty. The majority of the work is hands-on Power BI development on top of data in Google Cloud (BigQuery). You will work directly with business users to understand what they need, model the data properly, and deliver dashboards people actually use.

What you’ll do:

  • Build and maintain Power BI dashboards, reports and datasets end to end — requirement gathering, data model, DAX measures, visuals, publishing and support.
  • Write and tune SQL in BigQuery to prepare clean, reliable datasets for reporting.
  • Design star-schema data models and reusable, certified datasets so business teams can self-serve instead of asking for one-off reports.
  • Set up refresh schedules, gateways, workspaces, row-level security and deployment pipelines; keep report performance and query cost under control.
  • Build transformation pipelines in Dataform (or dbt-style SQL models) and schedule them; use Cloud Run / Cloud Functions for lightweight automation where needed.
  • Investigate data issues, trace them back to the source, and put basic data quality checks in place.
  • Sit with business stakeholders, translate their questions into metric definitions and specs, and document what you build.
  • Replace manual and Excel-based reporting with automated solutions.
  • Support Gen AI / Vertex AI use cases where useful — natural-language Q&A on datasets, automated summaries, Copilot features in Power BI.
  • Review work from junior analysts and help them level up.

What you’ll need:

  • 3–7 years of hands-on BI / reporting experience, with the bulk of it in Power BI (Power Query, DAX, data modelling, Power BI Service administration)/ similar tools.
  • Strong SQL — joins, aggregations, window functions, and the ability to debug a slow query.
  • Practical experience with a cloud data warehouse. GCP BigQuery preferred; Snowflake, Databricks, Azure Synapse / Fabric or Redshift equally considered.
  • Working knowledge of ETL/ELT concepts and at least one transformation or workflow tool — Dataform, dbt, Alteryx, SAS, Dataflow or similar.
  • Understanding of dimensional modelling and how to structure data for reporting rather than just extracting it.
  • Ability to talk to non-technical stakeholders, push back sensibly, and explain numbers clearly.
  • A degree in Engineering, Computer Science, IT, Statistics, Business Analytics or any quantitative field.

Future-Ready Skills (Nice to Have):

  • Python (pandas) for data prep or automation.
  • Vertex AI, Gen AI / LLM-assisted analytics, or Power BI Copilot exposure.
  • Tableau, Qlik Sense or Looker experience alongside Power BI.
  • Git / DevOps, CI-CD for BI artefacts, Agile ways of working.
  • Power Automate / Power Apps for workflow automation.
  • Microsoft PL-300 or Google Professional Data Engineer certification.
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments preferred.

Benefits

We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.

We are an equal opportunity employer

We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team.

Skills Required

  • 3-7 years of hands-on BI or reporting experience, primarily with Power BI
  • Power BI experience including Power Query, DAX, data modeling, and Power BI Service administration
  • Strong SQL skills, including joins, aggregations, window functions, and query debugging
  • Experience with a cloud data warehouse; Google BigQuery preferred
  • Working knowledge of ETL/ELT concepts
  • Experience with at least one transformation or workflow tool such as Dataform, dbt, Alteryx, SAS, or Dataflow
  • Understanding of dimensional modeling and reporting data structures
  • Ability to communicate with nontechnical stakeholders and explain metrics clearly
  • Degree in Engineering, Computer Science, IT, Statistics, Business Analytics, or another quantitative field
  • Python and pandas experience
  • Vertex AI, generative AI, LLM-assisted analytics, or Power BI Copilot exposure
  • Tableau, Qlik Sense, or Looker experience
  • Git, DevOps, CI/CD, or Agile experience
  • Power Automate or Power Apps experience
  • Microsoft PL-300 or Google Professional Data Engineer certification
  • Experience in integrated marketing, digital agency, marketing services, or consulting environments

OneMagnify Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about OneMagnify and has not been reviewed or approved by OneMagnify.

  • Parental & Family Support Parental support is positioned as a defined benefit with six weeks of 100% paid parental leave plus employer-paid short-term disability. Parental leave sentiment is characterized as middling, but the policy itself is clearly specified as part of the package.
  • Wellbeing & Lifestyle Benefits Work flexibility is framed as a meaningful part of the total rewards experience through hybrid/remote options and flexible time off with paid sick leave. Added lifestyle-oriented perks such as volunteer PTO, pet insurance, legal assistance, ERGs, recognition programs, and partner discounts broaden the offering beyond core insurance.
  • Flexible Benefits A broad slate of optional add-ons and programs is described, including tuition reimbursement up to $5,250/year and other elective-style perks. This variety can help different employee needs be met even when base pay competitiveness is seen as only average.

OneMagnify Insights

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The Company
HQ: Detroit, MI
610 Employees
Year Founded: 1967

What We Do

We are technologists, strategists, and creative minds dedicated to moving brands forward with work that delivers results. Our messaging, communications and design are driven by human insights and fresh ideas because starting a conversation is one thing, but building a lasting relationship is another.

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