1686 Data Analytics jobs in Bengaluru
Data Analytics
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Senior Analytics Analyst P&C Policy.
Role:
Analyze and report on data quality statistics for P&C policy data.
Must haves:
- Proficient in big data analysis tools, including SQL, R, or Python
- Domain experience in Property & casualty (P&C) insurance
- Relevant experience: 3-7 Years
- Experience with visualization tools, such as PowerBI
- Strong oral and written communication skills
Please note that we are not looking BI developers, ETL or UAT testing experience.
Data Analytics
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Job Summary:
We are seeking a highly motivated and detail-oriented Data Analyst with 3 to 6 years of experience in data analytics and business intelligence. The ideal candidate will possess strong analytical capabilities, hands-on experience with large data sets, proficiency in SQL and Python, and expertise in data visualization tools such as Power BI and Tableau. This role demands strong statistical acumen, familiarity with research methodologies, and the ability to derive actionable insights through both quantitative and qualitative analysis.
RequirementsKey Responsibilities:
Extract, clean, and analyze large datasets using SQL, Python, and other analytics tools.
Design and develop dashboards, reports, and data visualizations using Power BI and Tableau to support strategic decision-making.
Conduct exploratory data analysis, statistical modeling, and root cause investigations to identify trends, patterns, and business insights.
Collaborate with cross-functional teams to gather requirements, understand data needs, and deliver analytical solutions.
Apply basic statistical techniques and use tools such as R, T/Stata, or equivalent to support business and research initiatives.
Prepare and present findings and recommendations to stakeholders using MS PowerPoint and other communication tools.
Document analytical methodologies, data workflows, and project outcomes in a structured and comprehensible format.
Required Skills and Qualifications:
Bachelor's degree in computer science, Information Technology, Mathematics, Statistics, Economics, or a related field (B.Tech/B.E. or B.Sc./BA).
Postgraduate qualifications in relevant fields will be an added advantage.
3 to <6 years of experience in data analytics or a related discipline.
High-level proficiency in:
SQL and similar tools for querying and handling large datasets.
Python or equivalent programming language for data manipulation and automation.
Business Intelligence tools such as Power BI and Tableau.
MS Office tools including Excel (advanced), Word, and PowerPoint.
Basic statistics and research tools (R, T/Stata, etc.).
Strong problem-solving abilities with a solid understanding of both qualitative and quantitative analytics.
Ability to manage multiple projects simultaneously and communicate effectively with both technical and non-technical stakeholders.
BenefitsWe're hiring for one of the world's leading professional services organizations — part of the prestigious "Big 4" — known for setting global standards in consulting, advisory, audit, risk, tax, and technology services.
This firm works with some of the biggest brands and governments worldwide, helping them solve complex challenges, drive innovation, and build sustainable futures.
If you're passionate about working in a fast-paced environment, love solving problems, and are excited about learning from the best minds in the industry, this is your opportunity.
Join a culture that values collaboration, continuous growth, diversity, and making a real-world impact across industries.
Data Analytics
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Hold a high bar for data quality
Understanding of data architecture ability to design BI led architecture
Dashboarding (Tableau/Qlik/Gsheet)
Ability to design and maintain data governance mechanisms
Ability to generate business hypothesis and write validation tests
Understanding of machine learning algorithm or data science models(Unsupervised models for segmentation, Time series forecasting etc)
SQL mandatory, Python preferable.
Data Analytics
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SN
Required Information
Details
Role-Data Analytics TSR (Technical Support Representative)
Required Technical Skill Set-L2 SQL Query, L1-L2 BigQuery, L1-L2 Data Visualization, L1-L2 Cloud Ops
Desired Experience Range3 to 7 years
Location of Requirement
Chennai, Gandhinagar,Bangalore
Desired Competencies (Technical/Behavioral Competency)
Must-Have
(Ideally should be at least 3 years of hands-on with SQL Query)
- Strong expertise in SQL for querying, scripting, and developing database objects
- Ability to analyze complex data, identify issues, and develop effective solutions
- Regularly updating and maintaining the system to ensure optimal performance and security
- Exposure in configuring and managing network devices and services
- Exposure and understanding of BigQuery job to run queries, load data, export data, or copy data within BigQuery
- Experience in building tools and platforms that enable Data Visualization and interactive displays
- Proficiency in industry-standard software like Tableau, Power BI
- Maintaining accurate and up-to-date documentation of system configurations, procedures, and troubleshooting steps
- Identifying, resolving technical issues, and diagnosing the root cause of technical problems, whether hardware, software, or network-related
- Providing technical assistance to users, both internal and external, through various channels
- Communicating technical information clearly and concisely to users and stakeholders
- Setting up and tearing down cloud resources (servers, storage, networks) as needed
- Ensuring consistent and secure configurations across the cloud environment
- Support with 24x7 operations (Rotational Shifts)
- English language (verbal and written) Proficiency is must
Good-to-Have
- Minimum of 5+ years' experience in SQL Query or Data Visualization scope
- Infrastructure Certifications related to Data Visualization market standard tools
- Cloud Certifications related to GCP ACE
Data Analytics
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We are a consulting company with a bunch of technology-interested and happy people
We love technology, we love design and we love quality. Our diversity makes us unique and creates an inclusive and welcoming workplace where each individual is highly valued.
With us, each individual is her/himself and respects others for who they are and we believe that when a fantastic mix of people gather and share their knowledge, experiences and ideas, we can help our customers on a completely different level.
We are looking for you who is immediate joiner and want to grow with us
With us, you have great opportunities to take real steps in your career and the opportunity to take great responsibility.
Job DescriptionData Analytics & AI Insights Specialist (Retail/FMCG Domain)
Location: Bengaluru
Experience: 3 to 6 years
Domain Focus: Retail / CPG (Fashion Retail preferred)
1. Data Analysis & Insight Generation
- Leverage AI agents and advanced analytics tools to answer executive queries and generate actionable business insights.
- Validate AI-generated outputs, ensuring accuracy and extracting deeper insights from sales, merchandising, supply chain, and customer experience data.
- Interpret performance trends across key retail KPIs and translate findings into clear, executive-ready narratives with impactful visualizations.
- Design and optimize AI-driven workflows to handle executive-level business queries seamlessly.
- Create, test, and refine prompts that guide AI agents in generating accurate SQL queries, Python code, and insights.
- Develop and refine dashboards, reports, and executive presentations using AI tools.
- Deliver insights that are concise, business-relevant, and actionable for leadership decision-making.
- Collaborate with AI agent development teams to enhance agent performance and reduce reliance on human intervention.
- Stay updated with the latest in AI-driven analytics, retail/CPG KPIs, and best practices in data visualization.
Education:
- Bachelors or Masters degree in Computer Science, Data Science, Mathematics, Statistics, or related quantitative fields.
Experience:
- Minimum 3 years of experience in data analytics, preferably in Retail/CPG domain (fashion retail highly desirable).
Technical Skills:
- Proficiency in SQL and Python for data manipulation and analysis.
- Strong expertise in retail/CPG analytics with proven ability to generate deep, actionable insights.
- Hands-on experience with AI tools, AI agents, prompt engineering, and workflow design.
Soft Skills:
- Exceptional communication and storytelling skills for executive-level audiences.
- Strong attention to detail with a commitment to accuracy.
- Ability to thrive in a fast-paced, AI-driven environment.
Start: Immediate
Form of employment: Full-time until further notice, we apply 6 months probationary employment.
We interview candidates on an ongoing basis, do not wait to submit your application.
Data Analytics
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Role Description
Role Overview:
We are looking for a strategic and hands-on data science leader with deep expertise in Machine Learning, Natural Language Processing (NLP), Generative AI, and Customer Analytics. The ideal candidate will drive AI-powered transformation across customer experience, marketing, and operational domains.
Key Responsibilities
- Lead development of AI/ML models focused on customer behavior, segmentation, and personalization.
- Design and implement NLP and GenAI solutions for customer support, feedback analysis, and real-time experience optimization.
- Build and manage customer data platforms integrating structured and unstructured data sources.
- Collaborate with cross-functional teams to translate customer insights into business strategies.
- Deliver measurable business impact through data-driven decision-making and product innovation.
- Present insights and recommendations to senior stakeholders and business leaders.
Required Skills & Experience
- 12+ years of experience in data science and analytics, with a strong focus on customer data.
- Proven success in delivering AI solutions in industries such as insurance, retail, BFSI, or healthcare.
Hands-on expertise in:
Python, SQL, R
- Machine Learning, Deep Learning, NLP
- Generative AI, LLMs, Prompt Engineering
- Customer & Marketing Analytics, Contact Center Optimization
Tools: Snowflake, Adobe Analytics, Google Analytics, Clarabridge
Strong foundation in Statistics, Optimization, and Data Modeling.
- Excellent communication, stakeholder engagement, and leadership skills.
Preferred Qualifications
- Master's degree in Data Science, Computer Science, Statistics, or related field.
- Recognized certifications in AI/ML, NLP, or GenAI technologies.
Experience in building and scaling customer data products
Skills
Mandatory Skills :
Data Scientist , Customer data platform
Data Analytics
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hackajob *
is collaborating with
J.P. Morgan*
to connect them with exceptional tech professionals for this role.
You are a strategic thinker passionate about driving solutions in Financial Analysis. You have found the right team
As a Data Analytics Associate within the Corporate and Investment Banking Global Finance and Business Management organization, you will assist with the development of data and management reporting for regulatory operations. You will learn core business processes, develop metrics and management reporting, and provide decision support through ad hoc reporting and data analytics. This role offers the opportunity to work on high-impact initiatives that promote profitability and efficiency across the Commercial and Investment Banking organization.
Job Responsibilities
- Define, monitor, and report key management metrics around the health of an operations program
- Manage a high-volume and high-complexity reporting & dash boarding book of work, leveraging rigorous project management discipline
- Partner with senior leaders in advancing the business analysis and reporting agenda, focused on insights delivery in areas around operational efficiency, cost modeling, capacity planning, quality enhancements, etc.
- Define, design, and drive high priority strategic initiatives with senior level visibility in areas above
- Develop a deep understanding of systems and processes in order to extract insights from existing data
- Develop strong partnerships with business, IT application owners and data management teams to align on a roadmap for continual improvement while providing support around in-flight projects
Required Qualifications, Capabilities And Skills
- Hands-on experience with must have : Programming languages: SQL, Python. Any Data visualization tool. For ex: Qlik Sense or Tableau. Jira & MS Office
- Ability to understand business problems/processes and design solutions/methodologies that are rooted in data
- Effectively communicate insights/recommendations (verbal and written) with strong ownership skills
- Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization)
- Team player with a demonstrated strong work ethic.
Preferred Qualifications, Capabilities, And Skills
- Good to have Knowledge of Cloud & Distributed file systems, e.g., AWS Redshift, AWS Data brick, R programming
- Graduate/Post Graduate preferably with Computer/Finance/Statistics as core areas
- Minimum 4 years of experience, preferably(but not mandatory) in financial services or commercial banking
Shift Timing: EMEA (1pm to 10pm) & Location: Bengaluru
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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Data, Analytics
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Overview of 66degrees
66degrees is a leading Google Cloud Premier Partner. We believe that engineering takes heart. Focusing exclusively on Google Cloud, we help our clients achieve the most innovative and disruptive transformations in their industries.
66degrees is dedicated to providing our employees with a challenging and exciting work environment without forgetting to have some fun along the way. Let's get you here.
Overview of Role
We are seeking a proactive and skilled
Data, Analytics & Reporting Manager to
join our team. The ideal candidate will be a data-driven Marketing Analyst, responsible for setting up and managing various analytics tools, fetching key data, and presenting/ reporting it in a clear, actionable format. This role requires the person to have very good inter-personal skills to coordinate with multiple departments/ stakeholders within the organization (Global) and is crucial for tracking ROI to help in making data-informed decisions across our business.
Responsibilities
- Tools Management:
Configure, manage, and utilize a suite of analytics tools, including (at least 50-60% of these)
Google Analytics, Google Webmasters, Semrush, Ahrefs, SimilarWeb, Hootsuite, Sprout Social, Octopost, Google Looker Studio, MS CLarity, Salesforce Account Engagement, HubSpot, Salesforce CRM, Power BI,
etc MarTech Tools. - Data Analysis & Reporting:
Extract and analyze data from various sources to create comprehensive reports, charts, and graphs. You will be a master of
Excel and Google Looker Studio
, using these tools to transform raw data into a narrative that captures Return on Marketing Investments(RoMI) and drives business/ marketing strategy. - ROI Tracking:
Collaborate with our sales and delivery teams to track marketing and business-related expenditures. This will involve coordinating with sales heads and event organizers and leveraging tools like Salesforce to determine the return on investment for our initiatives. - Cross-functional Coordination:
Act as a key liaison between marketing, sales, and delivery departments to ensure data collection is accurate and reporting is aligned with business goals. - Insight Generation:
Go beyond simple reporting to identify trends, uncover insights, and provide strategic recommendations to stakeholders.
Qualifications
- Experience:
Proven experience in digital marketing analytics and tracking. - Technical Proficiency:
Strong expertise in at least 50% of the following tools: Google Analytics, Google Webmasters, Semrush, Ahrefs, SimilarWeb, Hootsuite, Sprout Social, Octopost, Google Looker Studio, MS CLarity, Salesforce Account Engagement, HubSpot, Salesforce CRM, Power BI. - Analytical Skills:
High proficiency in
Excel and Google Looker Studio
for data and visualization. - Communication:
Excellent verbal and written communication skills with the ability to articulate complex data findings to both technical and non-technical audiences. - Soft Skills:
A confident personality with excellent communication skills with the ability to navigate inter-departmental collaboration and influence stakeholders.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
Data Analytics
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1.Role- Data Analytics TSR (Technical Support Representative)
2.Required Technical Skill Set-L2 SQL Query, L1-L2 BigQuery, L1-L2 Data Visualization, L1-L2 CloudOPS Ops
Desired Experience Range- 3 to 7 years
Location of Requirement
Chennai, Gandhinagar& Bangalore
Desired Competencies (Technical/Behavioral Competency)
Must-Have
(Ideally should be at least 3 years of hands-on with SQL Query)
- Strong expertise in SQL for querying, scripting, and developing database objects
- Ability to analyze complex data, identify issues, and develop effective solutions
- Regularly updating and maintaining the system to ensure optimal performance and security
- Exposure in configuring and managing network devices and services
- Exposure and understanding of BigQuery job to run queries, load data, export data, or copy data within BigQuery
- Experience in building tools and platforms that enable Data Visualization and interactive displays
- Proficiency in industry-standard software like Tableau, Power BI
- Maintaining accurate and up-to-date documentation of system configurations, procedures, and troubleshooting steps
- Identifying, resolving technical issues, and diagnosing the root cause of technical problems, whether hardware, software, or network-related
- Providing technical assistance to users, both internal and external, through various channels
- Communicating technical information clearly and concisely to users and stakeholders
- Setting up and tearing down cloud resources (servers, storage, networks) as needed
- Ensuring consistent and secure configurations across the cloud environment
- Support with 24x7 operations (Rotational Shifts)
- English language (verbal and written) Proficiency is must
Good-to-Have
- Minimum of 5+ years’ experience in SQL Query or Data Visualization scope
- Infrastructure Certifications related to Data Visualization market standard tools
- Cloud Certifications related to GCP ACE
Manager, Data Science – Analytics
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At eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.
Job Description – Manager, Data Science – Analytics
Job Location: Bangalore, India
The Incentive and loyalty team works closely with product and business partners with the objective to drive success of eBay's key marketing investments through data-driven recommendations, we are a dynamic and driven team working on high impact projects along with partners from global teams.
We are seeking a high-energy, driven and collaborative team member with extensive problem-solving skills, sound business judgement and deep analytical capabilities. The ideal candidate will apply advanced analytics and data science techniques to drive innovation, build data products, and deliver actionable recommendations through meticulous analysis.
Responsibilities
- Demonstrate strong analytical and statistical skills towards taking complex and unstructured business problems, wide variety of quantitative and qualitative data, and provide structured and data-supported practical solutions to optimize eBay's domestic and cross-border shipping operations.
- Drive product decisions through A/B testing techniques to improve shipping time estimates, routing, cost reduction while optimizing conversion.
- Serve as a trusted partner and advisor to business units and senior leaders, translating complex analytical results into business insights, create necessary tools/reports to monitor and ensure program success.
- Collaborate with cross-functional teams, including business unit, product management, engineering, and finance, to identify, prioritize, and solve shipping-related business challenges.
- Drive innovation and continuous improvement within the Incentive and Loyalty analytics team, develop data products for faster and accurate decision-making, leverage advanced analytics tools and data science models.
Additional requirements: This role operates within a hybrid work-from-home model, requires flexibility for late evening audio or video conference meetings with US or Europe-based partners, or respond to emails and complete tasks in late evenings.
What We Expect From You
- Bachelor's degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or a related quantitative field. Master's in a related field or MBA is preferred.
- 8+ years of work experience in data science, analytics, or a related field.
- Strong analytical skills with expertise in SQL, Excel and data visualization tools (e.g. Tableau), Proficiency in a statistical programming language like R or Python is preferred
- Background in product analytics with hands on experience with A/B experiments (design and measurement techniques) is preferred.
- Proven track record of using data science / analytics to drive significant business impact, build predictive models, tackle elasticity and optimization problems.
- Excellent communication skills, with the ability to translate technical concepts into actionable insights for non-technical partners.
- Experience working in a fast-paced environment with cross-functional teams
Basic Checks
- Educational background – Bachelor's in engineering, CS, Statistics, quant field
- 7-10 years of experience, majorly spent in analytics and data science role
- Some keywords to look for – "data science", "analytics", "A/B testing", "product analytics"
- Tools: SQL, Python and at least 1 reporting tool like Tableau/ QlikView/ Power BI
- Some experience in similar companies – ecommerce/ retail would be good
- Good to have but not necessarily – MBA, good colleges
- Mentioned business impact from their work
Candidate Check
- Hybrid role, working with global partners which means late night calls
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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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