29 Data Driven Insights jobs in Kochi

Why Join Us?

We’re looking for highly skilled, passionate, and motivated individuals who are excited

about shaping the next generation of data professionals. Here’s why you should

consider joining our team:

1. Empower Future Talent – Play a key role in transforming lives by teaching real world data skills.

2. Growth & Recognition – Fast-track your career in a rapidly growing ed-tech

startup with leadership opportunities.

3. Innovative Work Culture – Thrive in a dynamic, collaborative, and flexible work

environment that values creativity and ownership.

4. Be a Part-Owner of the Company – ESOPs offered on performance based as a

loyalty benefit.

5. Make Real Impact – Your contribution directly affects learners’ career success.

What You’ll Do

As a Data Analytics Instructor at SkilloVilla, you will be instrumental in delivering

cutting-edge, industry-relevant training to aspiring data professionals. Your core

responsibilities will include:

1. Training Delivery – Deliver structured, interactive, and engaging training

sessions tailored to varying learner levels – from beginners to advanced.

2. Content Development – Develop content through research to create up-todate, comprehensive, and practical training materials and resources.

3. Project-Based Learning – Guide students through real-world data analytics

projects covering topics such as data analysis, machine learning, statistical

modeling, and data visualization.

4. Mentorship & Support – Provide personalized guidance, resolve student

queries, and support learners through challenges in their educational and career

journey.

5. Interactive Learning – Create a collaborative, problem-solving learning

environment that encourages active participation and critical thinking.

6. Assessment & Feedback – Evaluate student progress through quizzes,

assignments, and hands-on projects while offering constructive feedback.

7. Placement Support – Offer interview preparation, resume reviews, and career

guidance to help learners secure job placements.

8. Training Content Management – Manage training assets including session

presentations, assignments, quizzes, and other learning materials.

What You’ll Need

We’re looking for someone who combines strong technical expertise with a passion for

teaching and mentoring. The ideal candidate should possess:

1. Training Expertise – Proven experience delivering training in Tableau, Excel, SQL,

Python, Statistics, and Power BI.

2. Technical Proficiency – Strong knowledge of data tools and libraries like

Pandas, NumPy, Scikit-learn, and TensorFlow. Familiarity with Machine Learning,

Big Data, and BI tools.

3. Analytical Thinking – Ability to interpret large datasets, identify insights, and

perform data-driven decision-making. Skilled in statistical analysis and model

building.

4. Teaching & Mentorship Skills – Passion for education with the ability to explain

complex concepts in a simple and engaging manner.

5. Communication Skills – Ability to deliver training in English, with excellent

verbal and written communication skills to convey complex ideas clearly to

diverse learners.

6. Up-to-Date Knowledge – Awareness of current trends, tools, and best practices

in the field of data analytics.

7. Engaging Delivery Style – Ability to make learning enjoyable and effective

through interactivity and real-world examples.

Compensation

• Position Type : Full-Time

• Salary : As per industry standards and experience

• ESOPs : Offered on performance based as part of loyalty benefits

Perks & Benefits

1. Impact-Driven Role – Help students launch high-paying careers in data

analytics.

2. Work with Leadership – Collaborate directly with industry leaders and the

founding team.

3. Career Growth – Opportunity to grow into leadership or curriculum design roles.

4. Learning Environment – Continuous learning through internal training and

knowledge-sharing sessions.

About SkilloVilla

SkilloVilla is on a mission to bridge the gap between education and employment by

empowering graduates with industry-relevant skills. We focus on real-world job

requirements, enabling learners to secure high-paying jobs and fast-track their careers.

Our platform includes upskilling programs, resume support, mock interviews, and

placement opportunities with top-tier companies.

Our Founding Team

• Ronak Agrawal (CEO): IIT Delhi, Ex-Business Head, Cuemath

• Rajat Agrawal (CTO): IIIT Hyderabad, Ex-Tech Lead, Swiggy

• Deepak Kharol (COO): IIT Delhi, Ex-Sr. Growth Manager, Swiggy

Our Culture

1. Innovators at Heart – We constantly explore new ways to solve real problems.

2. Fast Executioners – We move quickly and efficiently in everything we do.

3. Ownership Mindset – Every individual owns their outcomes and drives impact.

4. Customer-Centric Approach – Learners are at the core of every decision we

make.

5. Open & Fun Work Environment – We value transparency, collaboration, and a

youthful vibe.

Ready to inspire future data professionals and make a lasting impact? Join

SkilloVilla and be a part of the change!

• Assisting in data collection, cleaning, and preprocessing.
• Performing descriptive and inferential statistical analysis.
• Developing and implementing data visualization dashboards (e.g., Tableau, Power BI).
• Learning and applying SQL for data extraction and manipulation.
• Gaining experience with programming languages like Python or R for data analysis.
• Supporting senior analysts in generating reports and presentations.
• Understanding business requirements and translating them into analytical tasks.
• Contributing to team projects and problem-solving discussions.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative field.
• Strong analytical and logical reasoning abilities.
• Proficiency in Microsoft Excel.
• Basic understanding of programming concepts (Python or R is a plus).
• Excellent communication and teamwork skills.
• Eagerness to learn and a proactive attitude.
• Ability to work collaboratively in a team environment.

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting

Data Analytics & Insights Analyst

Astreya offers comprehensive IT support and managed services. These services include Data

Center and Network Management, Digital Workplace Services (like Service Desk, Audio Visual, and

IT Asset Management), as well as Next-Gen Digital Engineering services encompassing Software

Engineering, Data Engineering, and cybersecurity solutions. Astreya's expertise lies in creating

seamless interactions between people and technology to help organizations achieve operational

excellence and growth.

Job Description

We are seeking experienced Data and Insights Analyst to join our analytics division.

• You will be aligned with our Data Analytics and BI vertical and help us generate insights by leveraging the latest Analytics techniques to deliver value to our clients.
• You will also help us apply your expertise in building world-class solutions, conquering business problems, addressing technical challenges using Google Platforms and technologies.
• You will be required to utilize the existing Tools, frameworks, standards, patterns to create architectural foundations and services necessary for Analytics applications that scale from multi-user to enterprise-class
• You will be working as a part of the Google Analytics team which provides analytics, actionable insights and recommendations to internal & external organizations in terms of optimizing ROI & performance efficiency in operations.

Requirements

Experience & Education

• 5+ years of progressive experience in data analytics and business intelligence
• Bachelor's degree required; preferably in Computer Science, Analytics, Statistics,
• or related field
• Proven experience in the IT services industry or managed services provider environment
• Technical Expertise

Technical Expertise

• Extensive experience in Data Science and Advanced Analytics delivery teams
• Strong statistical programming experience - SQL, Python.
• Experience working with large data sets and big data tools like GCP (BigQuery, VertexAI), AWS, MS Azure etc.
• Solid knowledge in at least one of the following –
• Multivariate Statistics, Reliability Models, Markov Models, Stochastic models
• Classification, Regression, Clustering
• Ensemble Modelling (random forest, boosted tree, etc.)
• Experience in at least one of these business domains: Supply Chain, Marketing Analytics, Customer Analytics, Digital Marketing, eCommerce
• Extensive experience in client engagement and business development
• Ability to work in a global collaborative team environment

Industry Knowledge

● Understanding of ITIL and IT service management frameworks

● Experience with service desk metrics and KPIs

● Knowledge of data center and network management analytics

● Familiarity with cybersecurity analytics and reporting

About Straive:-

Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains.

Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the company’s long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers.

Data Analytics & Al Services : Our Data Solutions business has become critical to our client's success. We use technology and Al with human experts-in loop to create data assets that our clients use to power their data products and their end customers' workflows. As our clients expect us to become their future-fit Analytics and Al partner, they look to us for help in building data analytics and Al enterprise capabilities for them.

With a client-base scoping 30 countries worldwide, Straive’s multi-geographical resource pool is strategically located in eight countries - India, Philippines, USA, Nicaragua, Vietnam, United Kingdom, and the company headquarters in Singapore.

Website:

Designation: Data Scientist

Job Location: Remote

Qualifications: BE/ BTech/ ME/ MTech/ MSc Statistics

Years of Experience: 2 to 8 years

Role and Responsibilities:

Marketing & Customer Analytics:

• Provide processes to measure, manage, and analyze marketing activities.
• Offer actionable insights and recommendations to optimize marketing ROI and performance efficiency.
• Use customer behavior data for market segmentation, predictive analytics, direct marketing, site selection, and customer relationship management.

Data Science and Analysis:

• Apply scientific methods, processes, and systems to extract knowledge or insights from various forms of data (structured and unstructured).
• Employ multivariate statistical techniques such as regression, classification, and segmentation to analyze data.

Machine Learning:

• Design, build, and deploy machine learning models focused on customer behavior, segmentation, churn prediction, recommendation systems, and lifetime value estimation.
• Collaborate with cross-functional teams (marketing, product, engineering) to identify business challenges and provide data-driven solutions.
• leverage machine learning techniques to extract insights from customer data, develop predictive models, and drive data-informed decision-making to improve customer engagement, retention, and lifetime value.

Required Skills and Expertise:

• Proficiency in programming languages commonly used in data science such as SQL, Python R and Visualization tools like Power BI, Tableau etc.
• In-depth knowledge of multivariate statistical techniques, including regression, classification, and segmentation.
• Ability to analyze and interpret complex data sets.
• Expertise in handling structured and unstructured data.
• Skilled in SQL querying with data extraction, transformation, and loading (ETL) processes.
• Understanding of marketing metrics and the ability to analyze marketing activities.
• Experience in Consumer Analytics, Customer Analytics or Marketing Analytics working in CPG, FMCG industry would be an added advantage.
• Experience in providing insights for optimizing marketing strategies and operations.
• Ability to work effectively within a team, particularly in interdisciplinary settings.
• Experience in managing projects and delivering results within specified timelines.
• Strong analytical and problem-solving skills to address complex business and technical challenges.

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.

Role**: Business Intelligence Engineer

Required Technical Skill Set: Business Intelligence Engineer

Desired Experience Range: 7 - 10 yrs

Notice Period: Immediate to 90Days only

Location of Requirement: Bangalore

We are currently planning to do a Virtual Interview

Job Description:

Primary Skill:

• Proficient in SQL and Python.
• Proficient in snowflake and Databricks . Tableau

Secondary Skills:

• The Senior Business Intelligence Engineer, is responsible for designing, developing visually compelling and engaging reports that drive business decisions.
• Works remotely across time zones, this role leads technical efforts to build data pipelines, gather requirements and work with executive stakeholders.
• The role calls for strong communication skills-oral, visual and written.

Roles and responsibilities:

• Collaborate closely with Product, Stakeholders, and Engineering teams to gather requirements and define hypotheses.

• Design, develop, and deploy robust, scalable data models and data pipelines.

• Lead design, development and maintainence of scalable data pipelines and ETL processes.

• Develop, implement and optimize dashboards/reports using BI tools(Tableau, PowerBI)

• Ensure data integrity, accuracy, and consistency across all reports and other deliverables.

• Mentor to early in career and junior engineers while fostering a culture of learning and collaboration.

• Work closely with Product Manager, Data Engineering, and data science team to develop integrated and advanced analytical solution which powers business decision.

• Work remotely with stakeholders across the different timezones.