Senior Data Analyst--Power BI
Free to start · No card · 5 credits the moment you sign up
Job description
Senior Data Analyst – Power BI
About the Role
We are looking for a Senior Data Analyst with strong hands-on expertise in Power BI, data visualization, and business intelligence to work on a broad range of analytics problems across various industries. The candidate should be able to translate business requirements into actionable insights, develop interactive dashboards, and effectively communicate findings and recommendations to clients.
Key Responsibilities
-
Engage with clients to understand their business context, objectives, and analytical requirements.
-
Understand business processes and map end-to-end workflows using visual formats.
-
Translate business problems into analytical frameworks and develop effective BI solutions using Power BI.
-
Design, develop, and maintain interactive dashboards and reports to support business decision-making.
-
Collaborate with Data Scientists, Data Engineers, and business stakeholders to integrate analytics into business processes.
-
Define KPIs, metrics, and reporting requirements based on business objectives.
-
Assess data quality, usability, and sufficiency to achieve desired business outcomes.
-
Perform data analysis, identify trends and patterns, and generate actionable insights.
-
Present analytical findings and recommendations through effective data visualization and storyboarding.
-
Ensure the accuracy, consistency, and quality of dashboards and reports.
Desired Skills & Competencies
-
Strong hands-on experience with Power BI, including:
-
Power BI Desktop and Power BI Service.
-
Dashboard development, publishing, and workspace management.
-
Data modelling, relationships, and schema design.
-
DAX measures, calculated columns, and complex calculations.
-
Power Query for data transformation and cleansing.
-
Row-Level Security (RLS) implementation.
-
Data refresh configuration and report performance optimization.
-
-
Proficiency in MS SQL for data extraction, transformation, validation, and analysis.
-
Experience in translating business requirements into dashboards, reports, and analytical solutions.
-
Strong understanding of data quality assessment and validation.
-
Proficiency in MS Office applications, particularly Excel, Word, and PowerPoint.
-
Experience with other visualization tools such as Tableau, QlikView, or Spotfire is an added advantage.
-
Knowledge of Python is good to have.
-
Strong analytical, problem-solving, and quantitative analysis skills.
-
Storyboarding and client interaction experience are value additions.
-
Strong written and verbal communication skills.
Education & Desired Experience
-
3–5 years of relevant experience in data analytics and business intelligence, with a strong focus on Power BI and problem-solving.
-
B.E., MBA, or an advanced degree in Mathematics, Statistics, or an equivalent discipline.
Note:
By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.
Prepare your application
Use the description above to assess your fit for Sigmoid. This checklist is guidance from Resumize, rather than additional requirements from the employer. Imported listings can be shortened or change after collection, so confirm the complete description and current availability before sending an application.
Match requirements to evidence
Identify the responsibilities and skills the employer explicitly names. For each important requirement, choose one example from your work, education, training, or projects. Explain what you did, how you did it, and what changed as a result. Include a measurable outcome when you can support it. If you lack a requirement, describe related experience accurately instead of adding an unfamiliar skill to your resume.
Put the most relevant examples near the top of your resume. Keep job titles, dates, qualifications, and contact details consistent across your application materials. Use the employer’s terminology when it describes your experience accurately; a copied list of keywords does not explain your contribution. A short, specific bullet is easier to review than a paragraph that mixes several unrelated duties.
Check the working arrangement
Confirm the location, schedule, employment type, and any eligibility requirements on the employer’s site. A remote label does not establish worldwide eligibility or flexible hours. If compensation, benefits, equipment, travel, or contract duration are missing from this listing, write down your questions for the recruiter. Do not assume details from another opening at the same company apply to this role.
Review before submitting
Follow the employer’s requested file format and application instructions. Open your exported resume and check that its text is selectable, its sections read in order, and its links work. Proofread names, dates, and contact information. Share confidential work samples only when you have permission, and use an anonymized example when necessary.
Submit through a trusted employer or recruiting destination. If the original listing has disappeared, search the employer’s careers page for the title rather than assuming the vacancy remains open. Save the application date, job reference, and the version of your resume you sent. Those details help you prepare for a later conversation and avoid submitting conflicting information through several job boards.
Review your resume for writing and readability feedback, or browse other openings if this opportunity is unavailable.