Senior
Bengaluru$68,000 – $112,0003 days ago
Bpmcpa
Bengaluru Advisory – Specialty Advisory Services (SAS) / Hybrid apply for this job
- Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP.
Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country.
With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction.
The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry.
We are seeking a talented and motivated Data Analyst with 2–4 years of relevant experience in Data Science, Analytics, and AI. The ideal candidate will have strong expertise in Python and PySpark, along with experience working in a professional services or consulting environment. This role involves leveraging data to generate actionable insights, develop AI-driven solutions, and support client engagements that deliver measurable business value. Experience with Microsoft Azure technologies (Azure Databricks, Azure AI Services, Azure Machine Learning) is an added advantage.
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.
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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job
2-4 years of experience, Data Science, Analytics, AI, Python, PySpark, professional services experience, consulting environment experience, Microsoft Azure experience (advantage), Azure Databricks (advantage), Azure AI Services (advantage), Azure Machine Learning (advantage), Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field, Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field, Python libraries, SQL, data visualization tools, Power BI, Tableau, statistical analysis, predictive analytics, data processing techniques, exposure to AI techniques, Generative AI concepts, strong analytical skills, problem-solving skills, communication skills, ability to work in collaborative environment, client-facing environment, Hybrid
Bpmcpa