Lead Data Analyst - SQL/Python in Pune, India is listed on Jobeax. Browse 30,000+ vacancies available.
We are seeking an experienced Lead Data Analyst to work on large-scale Energy & Utilities datasets. The ideal candidate will be responsible for analyzing tariff and pricing data, building data models, automating workflows, and delivering actionable insights to support business decisions.Role: Lead Data AnalystExperience: 6+ YearsLocation: Pune (WFO)Key Responsibilities:- Analyze complex datasets related to utility tariffs, rates, billing, and energy consumption.- Validate, cleanse, and transform data from multiple sources.- Develop and maintain data models and analytical reports.- Perform advanced analysis using Excel, SQL, and Python.- Build dashboards and visualizations for business stakeholders.- Automate repetitive processes and improve data workflows.- Identify trends, patterns, and anomalies in datasets.- Collaborate with cross-functional and global teams to deliver business solutions.- Mentor junior analysts and ensure timely project https://jobeax.com/link/SxaWoIptPtnP4xy1 Skills:- 6 to 10 years of experience in Data Analysis / Data Analytics.- Strong proficiency in SQL, Excel (Pivot Tables, Advanced Functions), and Python.- Experience in data modeling, reporting, and dashboarding.- Strong analytical and problem-solving skills.- Ability to work with large and complex datasets.- Excellent communication and stakeholder management https://jobeax.com/link/Cexs453KRiH2S1rJ Skills:- Experience in Energy, Utilities, Electricity, Gas, or Renewable Energy domains.- Exposure to Tariff Analysis, Pricing Models, Billing, or Forecasting.- Knowledge of Excel Macros, Power Query, or Python Automation.- Familiarity with Agile methodologies. (ref:hirist.tech)
... technical analytics environment with proven analytics and insights expertise at Lead Analyst level or equivalent- Technical proficiency : Strong expertise in BigQuery SQL and data visualisation tools- Leadership experience : Proven experience leading teams of analysts and managing analytical deliverables- People management : Experience ...
... Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.
... (dashboards, APIs, ML models) to support digital agronomy and sustainability reporting. - Maintain data quality, document methodologies, and support junior geospatial analysts. - Promote best practices in model development and code quality. - Translate business problems into data science solutions and communicate results to stakeholders. ...
... workflows, and structured output pipelines for LLM applications. Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost. Implement data preprocessing, feature engineering, and ML model training workflows. Work with structured and unstructured datasets to solve business problems. Collaborate with ...
Role: Senior Data EngineerExperience: 7+ YearsLocation: PuneJoining: Immediate to 30 Days' Notice PeriodRole Summary:We are looking for a skilled Sr. Data Engineer with strong expertise in Python and cloud-native technologies to design, develop, and maintain scalable data pipelines and distributed systems. The ideal candidate ...
... scalable solutions Generate actionable insights through data analysis and modeling Deploy, monitor, and improve model performance Qualifications - Bachelor's/Master's in Computer Science, Data Science, Engineering, or related field - 3–8 years of relevant experience Skills: data scientist,genai,python,sql,pyspark,aiml,ml
... in data science. Required qualifications : - Bachelor's or Master's degree in Data Science, Computer Science, or a related field. - 3-5 years of experience in data science or a related discipline. - Proficiency in generative AI and large language models. - Strong programming skills in languages such as Python or R. - Experience ...
... We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society's evolving needs. Work with data scientists, data analysts, computational engineers, machine learning engineers, software developers, or business representatives across our global organization ...
... Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Strong analytical and problem-solving skills. Proficiency in SQL and database management. Experience with data analysis tools (e.g., Excel, Tableau, Power BI). Familiarity with programming languages such as Python, Java, or ...
... Qualifications Bachelor's degree in Computer Science, Information Technology, or a related field. Strong analytical and problem-solving skills. Proficiency in SQL and database management. Experience with data analysis tools (e.g., Excel, Tableau, Power BI). Familiarity with programming languages such as Python, Java, or ...
... Reconciliation and validation plan with data quality checks 10+ years of overall experience in technology or product environments, including 5+ years as a Technical Analyst (or similar) with hands-on experience in Technical fluency: read/write basic SQL; understand data Proficient with Jira, Confluence, Salesforce, Snowflake, and ...
... role, with direct exposure to commodity markets spanning at least two of: power/energy, agricultural commodities, or metals. - Working knowledge of Excel for data analysis and reporting; basic Python or SQL is a plus but not required. - Solid understanding of derivatives (futures, options) as they relate to commodity price ...
... Bench. Minimum 3+ years of experience as a Data Analyst or Analytics-focused Engineer . Strong proficiency in Python for data analysis. Solid experience with SQL and relational datasets. Experience analyzing ML outputs and evaluation metrics . Ability to work with large, complex datasets and draw reliable insights. Experience ...
... frontend applications using Angular or React.js. Understanding of scalable application architecture and software design principles. Knowledge of relational and NoSQL databases, including Cassandra. Experience with cloud platforms, unit testing, debugging, and application deployment. Bachelor's or Master's degree in Computer ...
... Delivery Lead with 4+ years of experience in AI development and implementation. The role involves leading AI solution design, development, and deployment using Python, Azure, and video processing https://jobeax.com/link/cDE95jv2zLdHwOIZ Experience: 4 - 8 yearsKey Responsibilities:- Lead AI solution architecture, development, ...
Role Overview The Lead Data Scientist is a senior technical role combining deep expertise in statistics, mathematics and data preparation with strong capability in machine learning and hands-on programming. The role leads complex analyses, develops scalable solutions and ensures work is rigorous, reproducible and aligned ...
... comprehensive data management expertise to Clinical Data Management (CDM) team to provide high quality data management products that meet customer needs. Provide leadership to the team in the areas of project planning, execution, and close-out; financial management; Perform role of Data Team Lead (DTL). Comply with Good Clinical ...
... model monitoring approaches - Strong understanding of data engineering and model integration patterns, including working with SQL, batch pipelines, streaming data, APIs, and application services - Familiarity with observability and operational tooling such as Azure Monitor, Application Insights, MLflow tracking, Datadog, ...
... experience in deploying models to production. - Strong Python and SQL, with experience on distributed or cloud platforms such as Databricks, PySpark and AWS/Azure. - A track record of owning client communication and explaining results to non-technical stakeholders. - Experience in guiding and managing a team of data scientists.
... sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction etc. - Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical ...