Senior Data Analyst

Senior Data Analyst

About the Role:

Sigmoid Analytics is seeking a skilled Senior Data Analyst to address a wide array of data analytics, data visualization, and business intelligence challenges for clients across diverse industries. This role offers an opportunity to work on impactful projects that shape business strategy.

Key Responsibilities:

• Collaborate closely with clients to deeply understand their business objectives and context.
• Analyze and visually map business processes to identify areas for improvement.
• Translate complex business problems into analytical frameworks, employing statistical and machine learning techniques for solutions.
• Partner with data scientists and engineers to integrate AI and analytics into core business decision-making processes.
• Identify and propose actionable strategies for business enhancement.
• Clearly communicate analytical findings, insights, and recommendations to clients through compelling presentations.

Skills and Competencies:

• Experience in developing and refining algorithms and models to address business needs.
• Proven ability to provide comprehensive, end-to-end analytical support across various industry sectors and application areas.
• Proficiency in data quality assessment, evaluating data usability and sufficiency for achieving analytical and business outcomes.
• Skilled in generating data extracts and outputs according to specifications, including data cleanup, weighting, variable recoding, custom tabular views, and cross-tabulations.
• Strong quantitative analysis skills with the ability to interpret results effectively.
• Expertise in data visualization tools such as Power BI, Tableau, QlikView, or Spotfire.
• Proficiency with MS SQL Database and MS Office Suite (Excel, Word, PowerPoint).
• Familiarity with Python is a strong asset.
• Exceptional analytical and problem-solving capabilities.
• Experience with storyboarding and client interaction is highly valued.
• Excellent written and verbal communication skills.
• Availability for immediate joining is required.

Education and Experience:

• A minimum of 2.5 to 3.5 years of relevant experience in analytics, with a strong emphasis on problem-solving and advanced analytics solutions.
• Educational background including B.E./B.Tech, M.E./M.Tech, MBA, or an advanced degree in Mathematics, Statistics, or a related field.