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Data Quality Analyst

Twilio, Bengaluru, Karnataka, India

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See yourself at Twilio

Join the team as our next DATA QUALITY ANALYST

Who we are & why we’re hiring

Twilio powers real-time business communications and data solutions that help companies and developers worldwide build better applications and customer experiences.

Although we're headquartered in San Francisco, we're on a journey to becoming a globally antiracist company that supports diversity, equity & inclusion wherever we do business. We employ thousands of Twilions worldwide, and we're looking for more builders, creators, and visionaries to help fuel our growth momentum.

About the job

This position is needed to examine complex communications data and turn it into information by evaluating whether each case is associated with any Fraud or Abuse activity. 

As a Data Quality Analyst, you will work closely with Data Scientists and Engineers on the Consumer Trust team to help build solutions that prevent fraud and abuse, ensuring that Twilio is the leader in trusted communications.

Responsibilities

In this role, you’ll:

    • Work with technical and operational subject matter experts to understand and analyse data about Communications Fraud detection and prevention systems as well as processes.  
    • Perform data cleansing - identify, assess and resolve any data quality issues.
    • Perform data labelling - evaluate data records per the guidelines/run-books and tag records with appropriate labels.
    • Judge the output of different machine learning models and measure accuracy of these models.
    • Conduct data analysis from time to time and present findings through histograms, graphs, or charts. Eg. Identifying the number of languages present in a given dataset with frequency distribution.
    • Manage documentation related to data quality (data standards, definitions, DQA documents such as checklists, run-books, guidelines, manuals, etc.)

Qualifications 

Not all applicants will have skills that match a job description exactly. Twilio values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!

Required:

  • Bachelor’s Degree from an accredited university
  • Minimum 3+ years of data cleaning experience working closely with the data science team. Ability to classify information from noisy data. 
  • Ability to review, analyse and manage large volumes of data 
  • Outstanding attention to detail and a meticulous approach to work 
  • Familiarity with cloud platforms (Amazon Web Services), Excel Sheets, MySQL.
  • Familiarity with any one of the Data Visualization tools like PowerBI, Grafana, Tableau, etc.  
  • Experience working independently and as part of a team. Ability to collaborate with team members in different geographic locations and time zones.  

Desired:

  • Advanced Excel (v-lookups, pivot tables, etc.) or google sheets experience desired.
  • Knowledge of Python and R code is a plus.
  • Hands on experience of SQL/ETL is a plus

Location 

This role will be based in our our Bangalore, India office. Approximately <10% travel is anticipated. 

What We Offer

There are many benefits to working at Twilio, including, in addition to competitive pay, things like generous time-off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.

Twilio thinks big. Do you?

We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts.

  • Work with technical and operational subject matter experts to understand and analyse data about Communications Fraud detection and prevention systems as well as processes.  
  • Perform data cleansing - identify, assess and resolve any data quality issues.
  • Perform data labelling - evaluate data records per the guidelines/run-books and tag records with appropriate labels.
  • Judge the output of different machine learning models and measure accuracy of these models.
  • Conduct data analysis from time to time and present findings through histograms, graphs, or charts. Eg. Identifying the number of languages present in a given dataset with frequency distribution.
  • Manage documentation related to data quality (data standards, definitions, DQA documents such as checklists, run-books, guidelines, manuals, etc.)

 

So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!

If this role isn't what you're looking for, please consider other open positions.

 

About Twilio

Twilio's mission is to fuel the future of communications. Developers and businesses use Twilio to make communications relevant and contextual by embedding messaging, voice, and video capabilities directly into their software applications. Founded in 2008, Twilio has over 800 employees, with headquarters in San Francisco and other offices in Bogotá, Dublin, Hong Kong, London, Madrid, Malmö, Mountain View, Munich, New York City, Singapore and Tallinn.

Want to learn more about Twilio? Visit Twilio's website.