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advanced data scientist [t500-21272]

digital data 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

Netradyne

<div>
 
 Netradyne
 
 harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
 
 
 Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth.
 
 
 We are seeking a skilled Data Analyst with expertise in Tableau, PowerPoint, and data visualization. Experience in transportation, logistics, supply chain or related industries or operations will be a great advantage. The ideal candidate will have a strong background in refining, scaling, and automating business case and ROI modeling processes. This role is critical in supporting data-driven decision-making by analyzing and presenting insights that drive business strategies.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Develop, refine, and automate business case and ROI models to improve efficiency and accuracy.
 </li>
 <li>
 Create, maintain, and optimize Tableau dashboards for reporting and data visualization.
 </li>
 <li>
 Analyze transportation data to identify trends, performance metrics, and opportunities for process improvement.
 </li>
 <li>
 Collaborate with cross-functional teams to gather requirements and align analysis with business goals.
 </li>
 <li>
 Prepare compelling presentations using PowerPoint to communicate findings, trends, and actionable insights to stakeholders.
 </li>
 <li>
 Identify data discrepancies, implement quality control measures, and recommend system or process enhancements.
 </li>
 <li>
 Support strategic initiatives by providing in-depth data analysis and forecasting models.
 </li>
 <li>
 Continuously evaluate and scale analytics solutions to meet evolving business needs.
 </li>
 <li>
 Stay updated on best practices in data analytics, visualization, and transportation operations.
 
 
 
 </li>
 </ul>
 Qualifications:
 
 
 <ul>
 <li>
 Education: Bachelor&rsquo;s degree in Data Science, Business Analytics, Computer Science, Transportation Management, or a related field.
 </li>
 <li>
 Experience:
 </li>
 <li>
 3+ years in a data analyst or related role.
 </li>
 <li>
 Demonstrated experience with Tableau for creating and managing dashboards.
 </li>
 <li>
 Proficiency in PowerPoint for high-impact presentations.
 </li>
 <li>
 Familiarity with transportation industry data, processes, or systems.
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Advanced proficiency in Excel (including VBA and macros) and data modelling tools (SQL etc).
 </li>
 <li>
 Strong knowledge of Tableau for data querying and manipulation.
 </li>
 <li>
 Understanding of automation tools and frameworks.
 </li>
 <li>
 Soft Skills:
 </li>
 <li>
 Excellent analytical and problem-solving abilities.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 <li>
 Ability to manage multiple projects and meet tight deadlines.
 </li>
 <li>
 Detail-oriented with a commitment to data accuracy and quality.
 </li>
 <li>
 Ability to steer data-backed presentations &amp; insights for both internal and external stakeholders.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience in cost analysis, logistics, or supply chain optimization.
 </li>
 <li>
 Knowledge of advanced statistical methods and predictive modeling.
 </li>
 <li>
 Familiarity with transportation planning or fleet management software.
 
 
 
 </li>
 </ul>
 We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status.
 
 
 If there is a match between your experiences/skills and the Company's needs, we will contact you directly.
 
 
 Netradyne is an equal-opportunity employer.
 
 
 
 Applicants only - Recruiting agencies do not contact.
 
 
 
 
 Recruitment Fraud Alert!
 
 
 
 There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in &lsquo;@netradyne.com&rsquo; or &lsquo;@us-greenhouse-mail.io&rsquo;.
 
 
 Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.
</div>

Customer Data Analyst

Publicis Media

<div>
 
 
 About the Role
 
 
 
 We are looking for a detail-oriented
 
 Junior Analyst
 
 to join our team. The ideal candidate should be good with numbers, comfortable working on Excel/Sheets, and eager to learn data-driven decision making. This is a great opportunity for someone starting their career in analytics or digital/media operations.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collect, clean and organize data from various internal sources
 </li>
 <li>
 Support the team with daily/weekly/monthly reporting
 </li>
 <li>
 Analyse campaign or business performance to identify trends and insights
 </li>
 <li>
 Maintain dashboards and update trackers regularly
 </li>
 <li>
 Assist in preparing presentations and performance summaries
 </li>
 <li>
 Coordinate with internal teams for data requirements
 </li>
 <li>
 Ensure accuracy and quality in all reports and data outputs
 </li>
 </ul>
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Marketing, Statistics, Economics, or related fields
 </li>
 <li>
 Strong proficiency in
 
 Excel/Google Sheets
 
 </li>
 <li>
 Basic understanding of data analysis concepts
 </li>
 <li>
 Good communication and problem-solving skills
 </li>
 <li>
 Ability to work with multiple stakeholders and meet deadlines
 </li>
 <li>
 Eagerness to learn digital/media tools, analytics platforms, and reporting systems
 </li>
 </ul>
 
 
 Good to Have (Optional)
 
 
 <ul>
 <li>
 Familiarity with Google Analytics, Power BI, or similar tools
 </li>
 <li>
 Internship experience in analytics, digital marketing, or media
 </li>
 <li>
 Knowledge of basic SQL (not mandatory)
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Opportunity to learn hands-on from an experienced team
 </li>
 <li>
 Growth path towards Analyst / Senior Analyst roles
 </li>
 <li>
 Exposure to digital platforms, performance marketing, and data tools
 </li>
 </ul>
 
 
</div>

Junior Analyst

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead.
 
 
 As a Data Scientist, you will help design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse &ldquo;big data&rdquo; sources to generate actionable insights and solutions for client services, product enhancement and business impact. This opportunity will allow you to interact with product and service teams to identify questions and hypotheses for data analysis and experiments. You will develop and code software programs, algorithms, models and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will learn and understand project objectives and requirements from a business perspective as well as assist senior leads with the assessment of a project, including risks, contingencies, requirements, assumptions, and constraints.
 </li>
 <li>
 You will contribute to the development of a project plan as well as share insights with stakeholders based on direct work and understand which analysis techniques are appropriate for data and which key technologies and tools are necessary for data exploration (e.g., structured query language [SQL], Python).
 </li>
 <li>
 You will assist with initial data collection and familiarizes self with data in order to identify quality problems, discover insights into the data and/or detect subsets to form hypotheses.
 </li>
 <li>
 You will learn and understand various modeling techniques used within the team (e.g., linear regression, multiple regression, decision-tree building, neural network generation, support machines, derivatives) as well as run model tools on prepared dataset to create one or more models, seeking guidance as needed.
 </li>
 <li>
 You will contribute to the research, identification, prototyping, and productizing of machine learning (ML)/artificial intelligence (AI) techniques and algorithms and understand the linkage between achieved model and business objectives.
 </li>
 <li>
 You will assist with testing models on test applications and on real data or production data and learn and understand the current state of the industry, including knowledge of tools, techniques, strategies and processes that can be utilized to improve process efficiency and performance.
 </li>
 <li>
 You will embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR
 </li>
 <li>
 Master's Degree (or currently pursuing) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science

Northern Arc Capital

<div>
 
 
 Northern Arc Capital is hiring for the Bangalore location and is looking for immediate joiners. Candidates with experience in MLOps and Data Analytics will be considered.
 
 
 
 
 
 
 
 Qualifications:
 
 BTech/MTech
 
 
 
 
 
 
 Experience and skills:
 
 
 <ul>
 <li>
 2-4 years of experience in ML Engineering/MLOps/DevOps. Experience in NBFCs, financial services, viz. commercial banking or investment banking is desired.
 </li>
 <li>
 Familiarity with agile methodologies.
 </li>
 <li>
 Strong Python skills, essential for building and automating ML/data workflows.
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure-as-code (IaC), and MLOps/DevOps best practices (monitoring, drift detection, retraining).
 </li>
 <li>
 Knowledge of ML model versioning, deployment, and monitoring (tools like MLflow, Kubeflow, etc.) is highly desirable.
 </li>
 <li>
 Ability to write SQL and NOSQL queries across extensive data volumes.
 </li>
 </ul>
 
 
</div>

Scoutit

<div>
 Hiring
 
 Data Analysts
 
 to analyze requirements, translate them into actionable insights, and ensure smooth communication between the teams.
 
 
 
 Salary
 
 : INR 8,00,000 - 12,00,000 / year
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Perform thorough data validation and cleansing prior to asset migration from legacy systems such as Siebel, Salesforce, and SAP to CPQ.
 </li>
 <li>
 Conduct comparative checks between systems to identify data gaps, inconsistencies, and errors.
 </li>
 <li>
 Document and escalate identified issues to the appropriate System of System (SoS) teams for resolution.
 </li>
 <li>
 Collaborate closely with technical and functional teams to resolve pre- and post-migration data issues efficiently.
 </li>
 <li>
 Engage in post-migration analysis to verify data integrity and system alignment.
 </li>
 <li>
 Participate in formal training on system processes, data flows, and order processing logic.
 </li>
 <li>
 Assist in order processing workflows, identifying and correcting system data discrepancies.
 
 
 </li>
 </ul>
 
 Eligibility
 
 
 
 <ul>
 <li>
 This is an entry-level job
 </li>
 <li>
 Understanding of Python, SQL, Excel, tools like Tableau, and Power BI.
 
 
 </li>
 </ul>
 (*Note: This is a requirement for one of Scout's clients)
 
 
 Skills: excel,sql,python
</div>

Cricbuzz.com

<div>
 
 
 About Cricbuzz:
 
 
 
 Cricbuzz is the leading digital destination for cricket, delivering real-time scores, breaking
 
 
 news, and immersive video and editorial content to millions of passionate fans across India
 
 
 and around the world. We are seeking a performance-driven Business Analyst to unlock the
 
 
 full potential of our advertising revenue streams across web and mobile platforms.
 
 
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly analytical and skilled Revenue &amp; Ad Sales Business Analyst to
 
 
 support our advertising and revenue teams. This role will be responsible for gathering,
 
 
 analysing, and presenting data related to advertising performance, revenue trends and
 
 
 opportunities, direct and programmatic sales, and strategic business goals. You will work
 
 
 cross-functionally with business, sales, ad ops, finance, engineering, and product teams to
 
 
 drive data-informed decisions and ensure alignment with overall company business targets.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Gather comprehensive data and insights on company&rsquo;s advertising revenue (direct,
 </li>
 <li>
 programmatic, and partnerships by collaborating with Ad Operations
 </li>
 <li>
 Build and maintain dashboards and reports for sales teams and leadership.
 </li>
 <li>
 Summarize findings in clear, actionable presentations and updates for stakeholders.
 </li>
 <li>
 Support sales forecasting, pacing, and revenue goal tracking by integrating traffic
 </li>
 <li>
 analytics, audience behavior, and sports schedules
 </li>
 <li>
 Work closely with Leadership/Stakeholders to determine KPIs for Sales Leads and
 </li>
 <li>
 their teams.
 </li>
 <li>
 Evaluate the performance of SSPs, ad networks, and direct sales campaigns.
 </li>
 <li>
 Conduct ad hoc analyses to uncover growth opportunities, revenue leaks, and
 </li>
 <li>
 optimization areas.
 </li>
 <li>
 Provide insights to product and strategy teams on monetization opportunities.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Expertise:
 
 
 <ul>
 <li>
 3&ndash;5+ years of experience in business analysis, ad revenue analysis, or sales strategy
 </li>
 <li>
 preferred.
 </li>
 <li>
 Understanding of digital advertising ecosystem, including:
 </li>
 <li>
 Direct and programmatic ad sales
 </li>
 <li>
 Proficiency with data tools (e.g., Excel, SQL, GA, BigQuery, CleverTap etc).
 </li>
 <li>
 Experience with CRM and sales tools.
 </li>
 <li>
 SSPs, DSPs, ad servers (e.g., Google Ad Manager), header bidding, etc.
 </li>
 <li>
 Familiarity with traffic patterns, sports content cycles, and engagement metrics.
 </li>
 <li>
 Exceptional ability to visualize, interpret, and communicate data-driven insights.
 </li>
 <li>
 Strong collaboration and communication skills across technical and non-technical
 </li>
 <li>
 teams.
 </li>
 <li>
 Excellent organizational and project management skills.
 </li>
 </ul>
 
 
 
 
 
 Good to have Qualifications:
 
 
 <ul>
 <li>
 A master&rsquo;s degree from a leading management school.
 </li>
 <li>
 Experience at a media company, publisher, or ad tech platform.
 </li>
 <li>
 Familiarity with ad inventory management and monetization strategies.
 </li>
 <li>
 Knowledge of financial modeling, revenue recognition, and sales pipeline metrics.
 </li>
 <li>
 Background in economics, business, statistics, or digital marketing analytics.
 </li>
 </ul>
 
 
</div>

Business Analyst

Explore 487+ Digital data analyst in Mangaluru this December. Find roles across top companies and apply now to boost your career.

487 digital data analyst jobs IN Mangaluru

Data Analyst

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