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Data Operations Analyst

Job Title: Data Operations Analyst
Location: FullContact, Carnival Infopark, Phase IV, 9th Floor, 9-A, Kochi, Kerala, India
Employment: Full-time
Experience: 2+ years

Job description

FullContact is seeking an experienced Data Analyst to help in creating actionable insights for our clients.  The role will be focused on data analysis, packaging of findings and making actionable recommendations. The Data Analyst will function as a member of FullContact’s Data Analytics / Data Science Team.

You will be a part of our Client Services function which supports a range of products and services FullContact provides to large organizations. The primary functions and industries of focus include Marketing and Customer Service applications in the Retail, Travel and Hospitality and Consumer Packaged Goods industries.



  • Analyze data utilizing a varied set of analytical tools (Statistical, Business Intelligence reporting tools, SQL, spreadsheets, etc.)
  • Work on customer files to resolve and enrich them using FullContact’s open identity graph.
  • Perform data cleansing and mapping activities prior to feeding the  customer input files into FullContact’s Data Pipeline
  • Analyze data in intermediate pipeline steps and determine cleanup actions if required
  • Manage the tools and processes around the creation of enriched data for our clients
  • Test the customer deliverables to ensure quality and consistency before delivery.
  • Be a versatile player in startup organization helping to create new service offerings and applications of data


Mandatory Skills and Experience

  • Strong problem-solving ability skills and analytical thought processes, with background manipulating data.
  • Previous experiences with databases, data models & SQL
  • Experience with automation scripting in Bash (or another relevant language)
  • Experience working with AWS
  • A collaborative approach with teammates, clients, and partners
  • Attention to detail; ability to test, edit, fix errors and test product & datasets


Desirable Skills and Experience

  • Experience with data visualization software like Tableau or Domo.
  • Previous experiences working with python (or R) and using Scientific Computing libraries like NumPy, Pandas etc.
  • Ability to make professional presentations telling stories from data


Compensation & Benefits

  • Competitive salary based on experience, contribution and skillset
  • Complete one year, work from anywhere for a month
  • Health Insurance for you and your family
  • 3 Week Minimum leave Policy
  • Opportunity to attend events of national and international repute
  • 13 Paid holidays
  • Paid Maternity and Paternity Leaves
  • Dedicated pantry with hot/cold beverages and snacks
  • A chance to help solve the world's contact information problem


Do you think you can contribute to the company beyond the traditional expectations of your role and become key to the business? If yes, we have the following add-on exclusive for you. Prove your mettle at the job and grab it:

  • Rs. 1.5 Lakhs per year for Paid, Paid Vacation. Enjoy two weeks extra off from work, roam around anywhere in the world (go completely off-grid during this period – no work at all!)


About FullContact

FullContact is the most powerful fully-connected contact management platform for professionals and enterprises who need to master their contacts and be awesome with people. FullContact’s cross-platform suite of Apps and APIs enhance contacts with 360° insights, while keeping them organized, in-sync, up-to-date, and safe.

FullContact is ranked #29 on OUTSIDE’s Best Places to Work 2017 list. Read more:


About FullContact Culture and Values

We at FullContact believe in being awesome with people. FullContact is built on the strong fundamentals of our core values. We look forward to welcoming the candidates who can match our values and the competencies.

Read about our values at


FullContact is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.

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