Data Analyst
8.0/10
$68,000 – $112,000 USD22.7% below market
Hybrid
mid
about 2 hours ago
AI SummaryVerified by Aipplify AI
The vacancy is well-structured with clear responsibilities, compensation, and requirements, though company information could be improved.
AI quality score8.3 / 10
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Overview
Join BPM India as a Data Analyst in Bengaluru. Leverage your expertise in Python and PySpark to analyze data and develop AI-driven solutions in a hybrid work environment. BPM India Advisory Service Private Limited is a subsidiary of BPM LLP, one of the largest California-based accounting and consulting firms. Founded in 1986, BPM serves emerging and mid-cap businesses across various industries, including financial services, technology, and life sciences.
Key Responsibilities
- •Analyze large, structured, and unstructured datasets to identify trends, patterns, and actionable business insights.
- •Build scalable data processing pipelines using PySpark and optimize data transformation workflows.
- •Perform data cleaning, feature engineering, exploratory data analysis (EDA), and statistical analysis.
- •Develop analytical solutions and AI-driven approaches to solve business problems.
- •Apply AI and Generative AI techniques to enhance business processes and client solutions.
- •Collaborate with business stakeholders, data engineers, and cross-functional teams to translate business requirements into data-driven solutions.
- •Develop dashboards, reports, and visualizations using Power BI, Tableau, or similar BI tools.
- •Support client-facing projects by presenting technical findings and recommendations to both technical and non-technical stakeholders.
- •Stay current with emerging technologies in Data Science, AI, Generative AI, and cloud-based analytics platforms.
Required Skills & Experience
- •Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
- •2–4 years of hands-on experience in Data Science or Analytics.
- •Strong programming expertise in Python.
- •Hands-on experience with PySpark for distributed data processing and big data analytics.
- •Experience with Python libraries and SQL.
- •Experience with data visualization tools such as Power BI, Tableau, or similar platforms.
- •Knowledge of statistical analysis, predictive analytics, and data processing techniques.
- •Exposure to AI techniques and Generative AI concepts is preferred.
- •Strong analytical, problem-solving, and communication skills.
- •Ability to work in a collaborative, client-facing consulting environment.
Skills
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