business analyst

data analyst

analyst

data engineer

business analyst i

database analyst

Chevron

<div>
 
 About The Position
 
 
 
 A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise. A Data Analyst provides expertise on how Business workflows map to data, and how data can be integrated to build reusable data products. A Data analyst will serve as a subject matter expert for delivery teams.
 
 
 The Data Analyst will support the analysis and visualization of data to provide valuable insights that drive business decisions. This role requires a strong understanding of data processing, reporting, and visualization tools, as well as a good working knowledge of Microsoft Azure Services and Power Platform. The ideal candidate will have hands-on experience with data modeling, creating dashboards, and leveraging cloud technologies for data management.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Analyze data to extract meaningful insights, trends, and patterns that can support decision-making across the organization.
 </li>
 <li>
 Develop and maintain dashboards and visualizations using Power BI, Spotfire, and Tableau to present data insights in an easy-to-understand format for stakeholders.
 </li>
 <li>
 Work with Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database to store, transform, and retrieve data efficiently.
 </li>
 <li>
 Assist in data preparation, cleaning, and integration activities for analysis, ensuring high data quality.
 </li>
 <li>
 Collaborate with data engineers, business stakeholders, and IT teams to understand data requirements and contribute to the delivery of data-driven solutions.
 </li>
 <li>
 Leverage Power Platform tools to automate tasks, create workflows, and enhance data analysis processes.
 </li>
 <li>
 Provide support for ongoing analysis and maintain documentation for data processes, reports, and dashboards.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Experience: Overall 2-4 years of experience with 2 years of proven experience in data analysis, data visualization, or related fields.
 </li>
 <li>
 Bachelor's degree in Data Analytics, Computer Science, Statistics, or a related field (or equivalent experience).
 </li>
 <li>
 0-5 years experience
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Proficiency in Microsoft Azure services, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience in data visualization tools such as Power BI, Spotfire, and Tableau.
 </li>
 <li>
 Strong skills in data manipulation and transformation using SQL.
 </li>
 <li>
 Familiarity with the Microsoft Power Platform, including Power Apps, Power Automate, and Power BI.
 </li>
 <li>
 Proficiency in data visualization tools such as Power BI, Spotfire, Tableau. Data modeling techniques, data fluency and governance.
 </li>
 <li>
 Proficiency in Oil &amp; gas workflows and data types
 </li>
 <li>
 Data Analysis: Understanding of data analysis concepts and experience in data modeling and building insightful reports.
 </li>
 <li>
 Problem Solving: Strong analytical and problem-solving skills, with attention to detail.
 </li>
 <li>
 Communication Skills: Ability to communicate complex data findings in a clear and concise manner to non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Ability to work effectively as part of a team, sharing knowledge, and supporting other team members.
 </li>
 <li>
 Excellent communication and collaboration skills with demonstrated ability to build trusted working relationships with remote peers and stakeholders (internal &amp; external parties) across global teams and time zones.
 </li>
 <li>
 Strong knowledge of Microsoft Azure Services &amp; Power Platform, including Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database.
 </li>
 <li>
 Experience with SQL and data querying languages.
 </li>
 <li>
 Experience with Python for data wrangling.
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail and accuracy
 </li>
 <li>
 Fundamental knowledge of Information Risk Management (IRM).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Microsoft Power BI Data Analyst certification (PL-300)
 </li>
 <li>
 Ability to discover and prepare datasets into clean, understandable, usable, datasets for data analysis.
 </li>
 <li>
 Cloud Certifications: Certifications in Microsoft Azure (e.g., Azure Data Fundamentals, Azure Data Engineer Associate) are preferred.
 </li>
 <li>
 Experience with ETL Tools: Exposure to ETL tools and data integration techniques.
 </li>
 <li>
 Advanced Analytics: Experience or knowledge of machine learning or advanced analytics is a plus.
 </li>
 <li>
 Scripting Languages: Basic understanding of scripting languages such as Python or R for data analysis.
 
 
 </li>
 </ul>
 Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00AM to 5:00PM or 1:30PM to 10:30PM.
</div>

Data Analyst

Philips

<div>
 Job Title
 
 
 Data Analyst
 
 
 
 Job Description
 
 
 
 
 JOB TITLE: Data Analyst
 
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Handles analysis of complex datasets using SQL, Databricks, statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
 </li>
 <li>
 Creates data visualizations , utilizing tools like PowerBI, Qlik, Python, R, and Tableau, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
 </li>
 <li>
 Develops and implements robust data storage architectures, ETL processes, and data cleansing methodologies to ensure data accuracy, integrity, and accessibility across enterprise systems.
 </li>
 <li>
 Ability to deliver large programs, vendor management experience in addition to project management.
 </li>
 <li>
 Collaborates closely with senior management and cross-functional teams to prioritize and execute data analytics projects aligned with organizational objectives and strategic initiatives.
 </li>
 <li>
 Consults on data architecture design and optimization, providing expertise in data management, storage solutions, and scalability to enhance overall system performance.
 </li>
 <li>
 Ensures adherence to global data privacy regulations (e.g., GDPR, HIPAA) through rigorous data governance practices and security protocols in all data analytics initiatives.
 </li>
 <li>
 Conducts in-depth statistical analyses and trending procedures, documenting methodologies and findings to support regulatory compliance and business transparency.
 </li>
 <li>
 Provides technical guidance during regulatory audits, explaining statistical rationale and data validation processes to ensure compliance and maintain data integrity through all analytical operations.
 </li>
 <li>
 Drafts proposals for new analytics initiatives, evaluating business opportunities and recommending data-driven strategies to optimize processes and drive continuous improvement.
 </li>
 <li>
 Supports operational decision-making by assessing insights and analytics solutions, identifying opportunities for optimization, and implementing enhancements to achieve business objectives.
 </li>
 <li>
 Able to seamlessly take up role of operations as desired.
 
 
 </li>
 </ul>
 
 Minimum Required Education
 
 
 
 Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
 
 
 
 Minimum Required Experience
 
 
 
 Minimum 8 years of experience with Bachelor's in areas such as Computer Science , Data Analytics, Data Modeling or equivalent OR no prior experience required with Master's Degree.
 
 
 
 Minimum Required Certification
 
 
 
 Having Data Science and Gen AI certifications is desirable .
 
 
 
 Preferred Experience
 
 
 
 minimum 8 years in Data engineering, 2 years in data science and gen AI technologies
 
 
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Interpretation
 </li>
 <li>
 Data Harmonization &amp; Processing
 </li>
 <li>
 Data Modeling
 </li>
 <li>
 Data Quality Assurance
 </li>
 <li>
 Statistical Methods
 </li>
 <li>
 Statistical Programming Software
 </li>
 <li>
 Business Intelligence Tools
 </li>
 <li>
 Data Mining
 </li>
 <li>
 Machine Learning Engineering Fundamentals
 </li>
 <li>
 Research &amp; Analysis
 </li>
 <li>
 Structured Query Language (SQL)
 </li>
 <li>
 Regulatory Compliance
 </li>
 <li>
 Gen AI
 
 
 </li>
 </ul>
 
 How We Work Together
 
 
 
 We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
 
 
 Onsite roles require full-time presence in the company&rsquo;s facilities.
 
 
 Field roles are most effectively done outside of the company&rsquo;s main facilities, generally at the customers&rsquo; or suppliers&rsquo; locations.
 
 
 Indicate if this role is an office/field/onsite role.
 
 
 
 About Philips
 
 
 
 We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
 
 
 <ul>
 <li>
 Learn more about our business.
 </li>
 <li>
 Discover our rich and exciting history.
 </li>
 <li>
 Learn more about our purpose.
 
 
 </li>
 </ul>
 If you&rsquo;re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
</div>

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&rsquo;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp; &nbsp; &nbsp;
 
</div>

Soul AI

<div>
 
 
 About Us:
 
 
 
 Soul AI is a cutting-edge AI data and quality operations company founded by IIT Bombay and IIM Ahmedabad alumni. With team members from leading institutions like IITs, NITs, and BITS, we specialize in human-in-the-loop AI systems, curated datasets, and high-precision domain evaluations. Located in San Francisco and Hyderabad, we focus on building AI that positively transforms businesses and society.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Analyst to evaluate and refine data-oriented outputs generated by AI systems. You will analyze datasets, validate AI-generated insights, and enhance the model&rsquo;s ability to interpret patterns and derive meaningful conclusions. Your analytical expertise will directly influence the training of next-generation analytical AI tools.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze AI-generated data insights, reports, and dashboards.
 </li>
 <li>
 Validate statistical accuracy, data logic, and analytical reasoning.
 </li>
 <li>
 Identify inconsistencies, anomalies, or incorrect interpretation
 </li>
 <li>
 Provide structured feedback to strengthen AI understanding of analytics.
 </li>
 <li>
 
 Review prompts involving data cleaning, EDA, visualization, and metrics.
 
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong foundation in data analysis, Excel, SQL, and visualization tools.
 </li>
 <li>
 Experience with Python, Pandas, NumPy, or analytical workflows is a plus.
 </li>
 <li>
 Understanding of statistics, data validation, and business intelligence.
 </li>
 <li>
 Detail-oriented with strong problem-solving and reasoning skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on high-impact projects that contribute to building AI for Good.
 </li>
 <li>
 Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
 </li>
 <li>
 Opportunity to grow in a fast-paced, innovation-driven environment
 </li>
 </ul>
 
 
</div>

VEGROW

<div>
 
 
 About Vegrow:
 
 
 
 Vegrow is on a mission to revolutionize the $60B fresh fruit market! We&rsquo;re a fast-growing, VC-backed agri-tech startup founded by IIT alumni who&rsquo;ve built and scaled with companies like ITC, AgroStar, UrbanCompany, and Chronus. We partner with farmers, aggregate supply, and connect them directly to organized demand through tech-led solutions &mdash; driving efficiency, transparency, and profitability across the fruit value chain.
 
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 
 We&rsquo;re looking for a
 
 Data Analyst
 
 to join our
 
 Business Finance
 
 team &mdash; someone who loves diving deep into data, connecting dots, and converting numbers into business impact.
 
 
 This isn&rsquo;t a &ldquo;get a request &rarr; build a report&rdquo; role. We want someone who can
 
 think independently
 
 ,
 
 spot opportunities
 
 , and
 
 add value proactively
 
 by working shoulder-to-shoulder with the Business and BizFin teams.
 
 
 If you love solving open-ended problems and using data to tell stories that move the business forward &mdash; we want you!
 
 
 
 
 
 
 What You&rsquo;ll Do:
 
 
 <ul>
 <li>
 Work closely with Business &amp; BizFin teams to drive data-backed decisions.
 </li>
 <li>
 Build and maintain dashboards and reports that actually make an impact.
 </li>
 <li>
 Proactively explore data to uncover insights, trends, and hidden opportunities.
 </li>
 <li>
 Translate business questions into analytical models and crisp insights.
 </li>
 <li>
 Handle ad-hoc analyses with accuracy, speed, and attention to detail.
 </li>
 <li>
 Ensure data sanity, consistency, and integrity across all reporting layers.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring:
 
 
 <ul>
 <li>
 0&ndash;4 years of experience in data analytics or business analytics.
 </li>
 <li>
 Strong SQL skills (you should be able to write and optimize complex queries).
 </li>
 <li>
 Excellent Excel skills and experience with at least one BI tool (Tableau, Power BI, Looker Studio, etc.).
 </li>
 <li>
 Experience with Python or another scripting language for automation or data manipulation.
 </li>
 <li>
 Sharp analytical mindset, curiosity to explore, and the ability to simplify complex data stories.
 </li>
 <li>
 Great communication skills &mdash; you can make insights simple, visual, and actionable.
 </li>
 <li>
 Self-starter attitude &mdash; someone who figures things out, not just waits for instructions.
 </li>
 </ul>
 
 
 
 
 
 Cherry on Top
 
 
 <ul>
 <li>
 Experience with
 
 Zoho Analytics
 
 and/or
 
 Anaplan
 
 .
 </li>
 <li>
 Prior exposure to
 
 Business Finance / FP&amp;A
 
 setups.
 </li>
 <li>
 Comfort working in
 
 fast-paced, high-growth startup environments
 
 .
 </li>
 </ul>
 
 
 
 
 
 Join us if you&rsquo;re excited to make data a competitive advantage at Vegrow &mdash; and grow your career while helping us grow India&rsquo;s fruit economy.
 
 
</div>

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&Atilde;&fnof;&Acirc;&cent;&Atilde;&sbquo;&Acirc;&euro;&Atilde;&sbquo;&Acirc;&trade;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp;
 
 
 Experience: 5-8 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

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