(Senior) Data Analyst

Euromonitor; Bengaluru; On-site; INR 700,000 - 1,200,000; Full time

Benefits offered by this job

Private health insurance

Generous holiday allowances

Training and development opportunities

Job summary

Euromonitor International in Bengaluru seeks a data analyst and programmer to strengthen our internal Forecast Model process and Passport data updates. You will improve existing Python or R code, perform transformations and statistical computations, and contribute to consulting analytics projects.

The ideal candidate has at least 18 months of relevant experience, strong SQL and R skills, knowledge of data pipelines, ETLs, Docker, and cloud platforms, plus the ability to produce production-ready

Qualifications

• 18+ months of relevant experience for senior role.
• Strong Python or R programming skills with data analysis focus.
• Advanced SQL knowledge and ability to automate data processes.
• Familiarity with data flows, ETLs, pipelines, and cloud platforms.
• Production-ready coding standards and good documentation practice.
• Econometrics, statistics, and economics knowledge is advantageous.
• English fluency and strong communication skills.

Responsibilities

• Develop new code and improve existing data processing and statistical computations.
• Participate in internal peer review meetings and contribute to solutions.
• Draw conclusions from results and communicate them clearly.
• Monitor latest developments in programming and cloud solutions.
• Document each project and share best practices.

Skills

Python

R

SQL

Cloud computing

Data analysis

Automation

Education

M.A. in statistics / econometrics / data science / mathematics / economics

B.A. acceptable

Tools

Docker

REST API

JSON

SPARQL

JavaScript

HTML

Job description

About Euromonitor

Euromonitor International leads the world in data analytics and research into markets, industries, economies and consumers. We provide truly global insight and data on thousands of products and services; we are the first destination for organisations seeking growth. With our guidance, our clients can make bold, strategic decisions with confidence.

Overview of the role

The Analytics team is currently looking for a data analyst and programmer to work on improving Analytics process and code that is essential for Euromonitor’s internal Forecast Model process that supports the update of our internal Passport data.

The successful candidate will have solid programming foundation in either Python or R, understand the cloud computing services and have a genuine interest in data analytics.

Besides working on the internal Forecast Model process, the data analyst will likely be involved in our consulting projects that require similar skills.

A typical consulting analytics project starts with the identification of our clients’ objectives. Then the most optimal solution is identified, given all available data and the client’s objectives. The proper data treatment is extremely important since it yields robust results during the solution development stage. The results presentation to a client concludes the project.

What you’ll do

• Development of a new and improvement of an already existing code that treats the data, performs various mathematical transformations and statistical computations.
• Participation in internal peer review meetings and contribution to the best solution search process as well as giving comments on already created preliminary solutions
• Draw conclusions based on the results
• Monitoring for latest developments in the field to make sure we use cutting edge programming and cloud solutions
• Proper documentation of each project and sharing best practices

What we’re looking for

• A relevant experience of at least 18 months is required for senior role.
• Communication skills and English fluency (both oral and writing).
• Excellent organisational skills and creativity.
• Advanced R knowledge.
• Advanced knowledge of SQL.
• Ability to automate complex data analysis processes
• Understanding of data flows, migrations, ETLs, pipelines, and other similar tools
• Understanding of process scaling and parallelization.
• Understanding on how to write a production-ready code.
• Knowledge in econometrics, statistics and economics.
• Knowledge of Dockers, Rest API, JSON data format would be an advantage
• Knowledge of cloud computing services platforms providers (Azure, GCS, other)
• Experience in SPARQL, JavaScript, HTML or similar would be an advantage
• A genuine interest in Artificial Intelligence and related fields like data science and Machine learning would be an advantage.
• The confidence and ability to take the post forward with the minimum of supervision.
• M.A. degree in statistics, econometrics, data science, mathematics, economics, or similar field. Highly skilled candidates with a B.A. will also be considered.

Our values:

We seek individuals who act with integrity

We look for candidates who are curious about the world

We feel that as a community, we’re stronger together

We seek to enable people to feel empowered

We welcome candidates who bring strength in diversity

International: We have a multinational workforce and communicate daily across our 16

global offices.

Hardworking and Sociable: Our staff balance hard work with enjoyment, offering flexible

hours and regular social events, including after-work meetups, summer and Christmas

parties.

Committed to Making a Difference: Our Corporate Social Responsibility Programme

provides two volunteering days annually; donation amounts for new starters and supports

local and international charities through various initiatives.

Excellent Benefits: We offer competitive salaries, private health insurance, and generous

holiday allowances, amongst much more!

Opportunities to Grow: We provide extensive training and development, promoting from

within and across departments, and rewarding talent.

Equal Employment Opportunity: Euromonitor International does not discriminate based

on race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender

identity, marital status, disability, genetic information, age, membership in an employee

organisation, or other non-merit factors