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Data Analyst (SQL)
Insurtech & B2C Tech firm
Data Analyst (SQL)
Insurtech & B2C Tech firm's logo

Data Analyst (SQL)

at Insurtech & B2C Tech firm

Agency job
via Merito
3 - 5 yrs
₹6L - ₹8L / yr
Mumbai
Skills
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
skill iconData Analytics
About us :-

Merito is a curated talent platform where we identify, assess, and connect candidates for matching job opportunities. We are working with the mission to change the way hiring is done. The company is founded by a team of alumni from IIM Ahmedabad, McKinsey with more than 2 decades of experience in recruitment, training, and coaching.

About our Client :-

Our client is an InsureTech platform backed by a major retail giant that offers contextual insurance in a blink.

We are a team of consumer obsessed & driven people. We want to reimagine insurance through a consumption lens for millions. We are a B2C and B2B2C platform that wants to simplify the way insurance is experienced with principles of transparency, trust and contextualize. The multiple ideas that we are building upon are all about an experience beyond the way insurance is understood or sold at present in India.

If you are a passionate mind with the courage to reimagine, execute and grow, you are most welcome to join hands with us in any form.

About the role :-

We are looking for an experienced Data Analyst to join our team. An ideal candidate is someone who able to turn data into information, information into valuable insights that will help in business decisions.
The individual will be part of the team that is responsible for making Marketing, Business & Strategic decisions. 

Responsibilities :-

 Work closely with project managers to understand and maintain focus on their analytical needs, identifying critical metrics and KPIs, and deliver actionable insights to relevant decision-makers. 

 Analyze data from multiple sources (app, store sales, digital & social media) and create best-practice reports based on data mining, analysis, and visualization that will help in devising business/marketing/ communication plans

 Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data

 Coordinate with internal stakeholders and external partners to gather requirements, provide status updates, and build relationships

 Support in building customer analytics 

 Building some automated dashboards (like LIVE sale tracking, weekly management dashboards, etc.)

Required Skills and Qualifications :-

 Bachelor’s degree in engineering 

 3 – 5 years of experience as a data analyst in Retail industry 

 Must have hands-on experience working on multiple programming languages (MySQL & Presto)

 Technical writing experience in relevant areas, including codes, queries, reports, and presentations

 Excellent Excel skills and Good Communication skills 

 Experience in Python/Pyspark would be an added advantage
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Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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About TensorIoT


  • AWS Advanced Consulting Partner (for ML and GenAI solutions) 
  • Pioneers in IoT and Generative AI products. 
  • Committed to diversity and inclusion in our teams.  


TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

 

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

 

TensorIoT is proud to be an equal-opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.


Job Description 

At TensorIoT India team, we look forward to bringing on board senior Machine Learning Engineers / Data Scientists. In this section, we briefly describe the work role, the minimum and the preferred requirements to qualify for the first round of the selection process.

What are the kinds of tasks Data Scientists do at TensorIoT?

As a Data Scientist, the kinds of tasks revolve around the data that we have and the business objectives of the client. The tasks generally involve: Studying, understanding, and analyzing datasets; feature engineering, proposing and solutions, evaluating the solution scientifically, and communicating with the client. Implementing ETL pipelines with database/data lake tools. Conduct and present scientific research/experiments within the team and to the client. 


Minimum Requirements: 

  • Masters + 6 years of work experience in Machine Learning Engineering OR B.Tech (Computer Science or related) + 8 years of work experience in Machine Learning Engineering 3 years of Cloud Experience.  
  • Experience working with Generative AI (LLM), Prompt Engineering, Fine Tuning of LLMs.
  • Hands-on experience in MLOps (model deployment, maintenance)
  • Hands-on experience with Docker.
  • Clear concepts of the following:
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  • - Statistical Modelling, Deep Learning
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  • Well-rounded exposure to Computer Vision, Natural Language Processing, and Time-Series Analysis.
  • Scientific & Analytical mindset, proactive learning, adaptability to changes. 
  • Strong interpersonal and language skills in English, to communicate within the team and with the clients.

 

Preferred Qualifications: 

  • PhD in the domain of Data Science / Machine Learning 
  • M.Sc | M.Tech in the domain of Computer Science / Machine Learning 
  • Some experience in creating cloud-native technologies, and microservices design. 
  • Published scientific papers in the relevant domain of work. 


CV Tips: 

Your CV is an integral part of your application process. We would appreciate it if the CV prioritizes the following: 

  • Focus: 
  • More focus on technical skills relevant to the job description. 
  • Less or no focus on your roles and responsibilities as a manager, team lead, etc. 
  • Less or no focus on the design aspect of the document. 
  • Regarding the projects you completed in your previous companies, 
  • Mention the problem statement very briefly. 
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  • Github link, relevant blog articles. 
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We appreciate your interest in the company and look forward to your application.


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Keka
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1 video
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Akshita Kochar
Posted by Akshita Kochar
Hyderabad
2 - 4 yrs
₹4L - ₹7L / yr
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Overview:

We are currently seeking an energetic Sales Development Representatives. This position is an integral part of our sales engine. SDRs are a specialised group of individuals always “hunting” for high-value opportunities.

SDRs are focussed on the front end of the sales cycle and be the face of KEKA. This individual must be highly motivated, self-starter who is able to identify and develop opportunities from multiple sources including prospect lists, discovery and individual research.

 

A typical day at KEKA being an SDR would involve:

 

  1. Generating qualified opportunities for the company by rigorously prospecting and researching In the given region/market
  2. Striking and initiating conversations with high-profile personas of companies you are prospecting into
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  4. Getting creative with writing emails/ Inmails and grabbing the attention of prospects
  5. Being adaptable to change and have the thirst to learn new things/ways to reach the prospects and have them on board for a meeting

Requirements:

  • 1-4 years of work experience in any customer-facing sales like Sales/inside sales/cold calling/business development
  • Clear, concise, and effective written and oral communication skills.
  • Empathy towards customers and understanding their needs.
  • Interest, curiosity, and openness to learning new technologies.
  • Prior exposure to tools like LinkedIn Sales Navigator, DiscoverOrg, ZoomInfo, etc.
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  • Learning mindset and the right attitude that will help you thrive and adapt in a fast-paced, performance-driven environment.
  • Ability to handle rejections and stay focused and driven.
  • Ability to multi-task and manage your tasks effectively.
  • Flexibility working in different shifts/regions. This is absolutely mandatory 


Good To Have:

  • Prior work experience in SaaS product companies in domains relevant to Keka products.
  • A proven track record of consistency in overachieving targets.
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Job Description

We are looking for you!

You are a team player, get-it-done person, intellectually curious, customer focused, self-motivated, responsible individual who can work under pressure with a positive attitude. You have the zeal to think differently, understand that career is a journey and make the choices right. You must have experience in creating visually compelling designs that effectively communicate our message and engage our target audience. Ideal candidates would be someone who is creative, proactive, go getter and motivated to look for ways to add value to job accomplishments.

You have excellent verbal and written communication skills with the ability to craft compelling UI creatives, visually compelling designs that effectively communicate our message and engage our target audience. You are self-motivated with a strong work ethic, positive attitude, and demeanor, enthusiastic when embracing new challenges, able to multitask and prioritize (good time management skills), willingness to learn new technology/methodologies, adaptable and flexible when new products are assigned. You prefer to work independently with less or no supervision. You are process oriented, have a methodical approach and demonstrate quality first approach and preferably who have worked in a result-oriented product marketing team(s). 

Requirements

What youll do

  • Solution Design: Collaborate with clients to understand their business requirements and design comprehensive Informatica MDM solutions tailored to their needs.
  • Implementation: Lead the implementation of Informatica MDM solutions, including configuration, customization, and integration with existing systems.
  • Data Modeling: Design and implement data models to support MDM initiatives, ensuring data integrity, accuracy, and consistency across systems.
  • Data Quality Management: Implement Informatica Data Quality (IDQ) processes and workflows to improve data quality and ensure compliance with organizational standards.
  • Integration: Integrate Informatica MDM solutions with other enterprise systems, such as CRM, ERP, and BI platforms, to facilitate seamless data exchange and interoperability.
  • Customization: Develop custom components, workflows, and extensions to extend the functionality of Informatica MDM and meet specific business requirements.
  • Data Governance: Establish data governance policies, standards, and best practices to govern the use, management, and quality of master data within the organization.
  • Documentation: Prepare comprehensive documentation, including solution designs, technical specifications, user guides, and training materials, to support the implementation and maintenance of Informatica MDM solutions.
  • Testing and Quality Assurance: Conduct thorough testing and quality assurance activities to ensure the reliability, scalability, and performance of Informatica MDM solutions.
  • Training and Support: Provide training and support to end-users, administrators, and stakeholders to ensure successful adoption and utilization of Informatica MDM solutions.

What you’ll bring

  • Bachelor's degree in Computer Science, Information Systems, or related field; Master's degree preferred.
  • Minimum of 4 years of experience in implementing and configuring Informatica MDM solutions.
  • Proficiency in Informatica MDM Hub, Informatica Data Director, Informatica Data Quality (IDQ), and related Informatica tools and technologies.
  • Strong understanding of data modelling principles, data integration concepts, and master data management best practices.
  • Hands-on experience with data profiling, cleansing, and transformation using Informatica IDQ.
  • Experience with data governance frameworks, data stewardship workflows, and data quality metrics.
  • Excellent communication skills and the ability to effectively collaborate with cross-functional teams and stakeholders.
  • Proven ability to work independently, manage multiple priorities, and deliver high-quality results within tight deadlines.
  • Informatica certification(s) in MDM and/or IDQ is a plus.

Benefits

1. Culture:

  • Open Door Policy: Encourages open communication and accessibility to management.
  • Open Office Floor Plan: Fosters a collaborative and interactive work environment.
  • Flexible Working Hours: Allows employees to have flexibility in their work schedules.
  • Employee Referral Bonus: Rewards employees for referring qualified candidates.
  • Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

  • Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.
  • Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

  • GMC and Term Insurance: Offers medical coverage and financial protection.
  • Health Insurance: Provides coverage for medical expenses.
  • Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

  • Company-sponsored family events: Creates opportunities for emplo4. Child Care & Parental Leave Benefits:yees and their families to bond.
  • Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.
  • Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

  • Company-sponsored outings: Organizes recreational activities for employees.
  • Gratuity: Provides a monetary benefit as a token of appreciation.
  • Provident Fund: Helps employees save for retirement.
  • Generous PTO: Offers more than the industry standard for paid time off.
  • Paid sick days: Allows employees to take paid time off when they are unwell.
  • Paid holidays: Gives employees paid time off for designated holidays.
  • Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

  • L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.
  • Mentorship Program: Offers guidance and support from experienced professionals.
  • Job Training: Provides training to enhance job-related skills.
  • Professional Certification Reimbursements: Assists employees in obtaining professional certifications.
  • Promote from Within: Encourages internal growth and advancement opportunities.


About company

Who we are


Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Co-founded by Wharton Business School Aluminous, Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data. We leverage cutting-edge technologies and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions

Kanerika has won several awards over the years, including:

  • Best Place to Work 2022 by Great Place to Work
  • Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today
  • Frost & Sullivan India 2021 Technology Innovation Award for its Compass composable solution architecture
  • Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.



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Deep-tech company working on transformative motor technology
Deep-tech company working on transformative motor technology
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Do you wish to work for a Deep-tech Indian company developing path-breaking products which are set to disrupt every possible industry and domain?

Our client is building a scalable, cloud-controlled, and rare-earth free platform for designing, building, and deploying electric motors for various applications. It aims towards building transformative technology that will make the motors of the future simpler, smarter, more efficient, and easy-to-build in the long run.

The founders are veteran serial entrepreneurs, product experts, and motor technologists with more than eight decades of experience developing cutting-edge products and technologies. The company is bringing transformative motor technology to the forefront of commercial applications. The company aims to make deep fissures in the extant hydrocarbon and rare-earth-based energy economy to create a greener future.

What you need to join us
Are you an electronics guru, embedded systems expert with a penchant for power
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● Take ownership of Hardware development for motor controllers
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EMI/EMC, Electrical stress, HALT/HASS etc. is highly desirable
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plus
● Experience in automotive or power electronics domain is highly desirable

Background
● B.E - EE, CS, ME (or equivalent) from a reputed institution with 5+ (7+) years of
relevant experience
● ME/MS - EE, CS, ME (or equivalent) with 3+ (5+) years of relevant experience
Read more
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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