Python
Data Analytics
Amazon Web Services (AWS)Role Characteristics:
Analytics team provides analytical support to multiple stakeholders (Product, Engineering, Business development, Ad operations) by developing scalable analytical solutions, identifying problems, coming up with KPIs and monitor those to measure impact/success of product improvements/changes and streamlining processes. This will be an exciting and challenging role that will enable you to work with large data sets, expose you to cutting edge analytical techniques, work with latest AWS analytics infrastructure (Redshift, s3, Athena, and gain experience in the usage of location data to drive businesses. Working in a dynamic start up environment will give you significant opportunities for growth within the organization. A successful applicant will be passionate about technology and developing a deep understanding of human behavior in the real world. They would also have excellent communication skills, be able to synthesize and present complex information and be a fast learner.
You Will:
- Perform root cause analysis with minimum guidance to figure out reasons for sudden changes/abnormalities in metrics
- Understand objective/business context of various tasks and seek clarity by collaborating with different stakeholders (like Product, Engineering
- Derive insights and putting them together to build a story to solve a given problem
- Suggest ways for process improvements in terms of script optimization, automating repetitive tasks
- Create and automate reports and dashboards through Python to track certain metrics basis given requirements
- Automate reports and dashboards through Python
Technical Skills (Must have)
- B.Tech degree in Computer Science, Statistics, Mathematics, Economics or related fields
- 4-6 years of experience in working with data and conducting statistical and/or numerical analysis
- Ability to write SQL code
- Scripting/automation using python
- Hands on experience in data visualisation tool like Looker/Tableau/Quicksight
- Basic to advance level understanding of statistics
Other Skills (Must have)
- Be willing and able to quickly learn about new businesses, database technologies and analysis techniques
- Strong oral and written communication
- Understanding of patterns/trends and draw insights from those Preferred Qualifications (Nice to have)
- Experience working with large datasets
- Experience with AWS analytics infrastructure (Redshift, S3, Athena, Boto3)
- Hands on experience on AWS services like lambda, step functions, Glue, EMR + exposure to pyspark
What we offer
At GroundTruth, we want our employees to be comfortable with their benefits so they can focus on doing the work they love.
- Parental leave- Maternity and Paternity
- Flexible Time Offs (Earned Leaves, Sick Leaves, Birthday leave, Bereavement leave & Company Holidays)
- In Office Daily Catered Lunch
- Fully stocked snacks/beverages
- Health cover for any hospitalization. Covers both nuclear family and parents
- Tele-med for free doctor consultation, discounts on health checkups and medicines
- Wellness/Gym Reimbursement
- Pet Expense Reimbursement
- Childcare Expenses and reimbursements
- Employee assistance program
- Employee referral program
- Education reimbursement program
- Skill development program
- Cell phone reimbursement (Mobile Subsidy program)
- Internet reimbursement
- Birthday treat reimbursement
- Employee Provident Fund Scheme offering different tax saving options such as VPF and employee and employer contribution up to 12% Basic
- Creche reimbursement
- Co-working space reimbursement
- NPS employer match
- Meal card for tax benefit
- Special benefits on salary account
We are an equal opportunity employer and value diversity, inclusion and equity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Shubham Vishwakarma
Full Stack Developer - Averlon
About GroundTruth
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Full Stack Developer - Averlon