599 Data Analytics jobs in Bengaluru

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.

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

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.

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.

Location: Bengaluru

Experience: 3 to 6 years

Domain Focus: Retail / CPG (Fashion Retail preferred)

• 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.

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

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.

About Lumilens

At Lumilens we are building the critical photonics infrastructure that powers tomorrow’s AI supercomputing. From chip-to-chip optical interconnects to scalable photonic engines, Lumilens is unlocking a new era of computing—faster, cooler, and massively more efficient.

We’re a well-funded startup backed by Mayfield and led by veterans who’ve built and scaled some of the most transformative technologies in the industry. At Lumilens, we’re developing high-speed photonics products purpose-built to power the future of AI infrastructure and high-performance computing.

This isn’t incremental innovation—it’s a ground-floor opportunity to rethink the optical layer from the silicon up. The market is moving fast, and we’re moving faster. You’ll work alongside a team of world-class engineers solving some of the hardest challenges in optics, systems, and scale. Every line of code, every design decision, every breakthrough you help deliver—will shape the infrastructure of tomorrow. If you're looking for mission, momentum, and the chance to make an outsized impact—jump on the rocket ship. We’re just getting started.

Position Overview

We are looking for an experienced analytics engineer to build the data foundations, define key metrics and make recommendations to guide strategic decisions and influence the trajectory of photonic research at Lumilens.

Analytics engineer

• Understand user requirements from a variety of domain experts and translate that to data tooling requirements
• Create rapid analytics prototypes (notebooks, dashboards) to address user needs
• Create dashboards and reports for stakeholders including exec team, internal users and external customers using structured and semi-structured datasets
• Identify data gaps (missing data, inaccurate data, inconsistent fields etc) and ensure improvements, working in close collaboration with domain experts (optical engineers, manufacturing engineers, quality/reliability engineers) and data and machine learning engineers
• Implement data quality checks
• Identify opportunities to improve timeline, reliability and costs for our product lines
• Follow good software engineering practices
• Core requirements: Dashboarding tools, Data visualization tools (eg matplotlib, seaborn, altair, Strong SQL skills, Python data stack (eg. pandas, numpy).

What we offer

● Competitive salary commensurate with experience

● Comprehensive benefits package including health insurance

● Professional development opportunities and certification support

● Access to cutting-edge technology and cloud platforms

● Collaborative work environment with cross-functional teams

● Lumilens is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, identity, orientation, veteran status, disability, or any other legally protected status.

• Position Title –Data Analytics Manager
• Location – Bengaluru-Corporate Office
• Total Experience of 4 to 10 Years
• Qualification – Bachelor's in data science & Statistics, Computer Science, or bachelor's in Engineering
• Direct Reporting – Nil (Individual Contributor)
• Industry- FMCD (Small Appliances, preferably)/FMCG/FMEG/Luggage /Building Material/ Retail

Key Responsibilities:-

Data Analysis and Reporting:

• Be the central point for all business and performance analytics
• Oversee the collection, processing, and interpretation of large datasets
• Manage all MIS and reports for various functions and ensure timely delivery of reports to each function.
• Develop self-serve BI tools and automated reporting for functional leaders
• Identify trends, patterns, and insights to drive strategic decision-making
• Build and maintain executive dashboards to monitor business health and performance metrics.

Data Strategy Development:

• Develop and implement data analytics strategies to support business objectives.
• Partner with the Head of Strategy to define KPIs, track strategic projects, and measure business performance.
• Collaborate with other departments to understand their data needs and provide actionable insights.

Team Management:

• Led and mentored a team of data analysts and MIS experts
• Ensured projects were completed on time and within budget
• Foster a collaborative and innovative work environment

Tool and System Management:

• Implement and maintain data analytics tools and systems
• Ensure the efficient operation of data collection and analysis processes
• Troubleshoot and resolve any issues related to data systems
• Use statistical methods, predictive modeling, and data mining techniques to inform decision-making
• Provide ROI analysis on transformation and cost-saving initiatives

Stakeholder Communication:

• Act as the analytics point of contact for strategy-related initiatives
• Work with product, IT, supply chain, and marketing teams to gather data and align KPIs.
• Present insights and recommendations to senior leadership in a clear and compelling manner

Other Responsibilities:

• Delivery of data services to support marketing activities
• Program and develop Extract, Transform and Load programs to support integration
• Ensure data quality within the database - Data Loading and error handling
• User Acceptance Test to ensure Quality in deliverables
• Produce high standard of documentation on data flows and processes
• Coordinated data campaigns and analysis projects, including segmentation and modeling deliverables.
• Assess client and 3rd party data sources and new data capture opportunities to enhance existing data.
• Defined and set up reporting and analysis processes and deliverables that meet client objectives.

Key Performance Indicator:-

• Data Accuracy : Accuracy and reliability of data collected and analyzed
• Insight Utilization : Percentage of business decisions influenced by data insights
• Project Timeliness : Completion of data projects within the agreed timelines
• Team Performance : Productivity and development of the data analytics team
• Stakeholder Satisfaction : Feedback from stakeholders on the usefulness and clarity of data insights
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google BigQuery)

Remarks:-

• Experience working with ERP & CRM systems such as SAP, Salesforce or similar Strong command of SQL, Excel, and at least one scripting language (Python, R, etc.)
• Proven experience building dashboards (Power BI, Tableau, QlikView, etc.) and working with large data sets.
• Knowledge of data management best practices and regulatory requirements.
• Knowledge of data management best practices and regulatory requirements.
• Good Communication & Influencing Skills.
• Looking for stable candidates only (Frequent job changes will be not considered).
• Local Candidates will be preferred