1322 Data Mining jobs in Bengaluru

We are looking for a resource for Data Analytics with 3+ years experience

Strong in SQL & Python

Experience of working in Ad campaigns will be an added advantage.

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.