June 7, 2024
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Bengaluru, Karnataka, India, India
June 7, 2024
Apply NowJob description
Euromonitor International is the world's leading provider of global business intelligence and strategic market analysis. We have more than 40 years' experience of publishing international market reports, business reference books and online databases as well as a large Consulting division.
Our research offers insight into industries, countries and consumers.
We deliver quality information solutions to support strategic business planning.
Euromonitor International is headquartered in London, with regional offices in Chicago, Singapore, Vilnius, Bangalore, Dubai, Santiago, Tokyo, Hong Kong, Shanghai, Seoul, Sydney, Cape Town, and Sao Paulo. It has about 1,250 employees and a network of over 800 analysts worldwide.
Job Description
The Consulting analytics team is currently looking for a data analyst to work on client based econometric modelling projects as well as large internal projects ran from our Vilnius office.
The successful candidate will use and explore various innovative economic, econometric, and statistical modelling tools that best help us address our clients' strategic objectives.
A typical modelling and analytics project starts with the identification and conceptualization of our clients' needs and objectives. This is then followed by an evaluation of all possible solutions by their feasibility given available data and the client's objectives. The final stage often involves the identification of the most optimal economic or econometric solution.
As the data analyst gains experience in building client solutions, we will look to involve him/her in project opportunity screening and proposal build, developing modelling updates as well as driving client presentations and/or meetings.
Key responsibilities:
Key requirements:
Our values
Hardworking but sociable: our staff know how to work hard but also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with.
Committed to making a difference: We think that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities.
Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our managers and directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
Our research offers insight into industries, countries and consumers.
We deliver quality information solutions to support strategic business planning.
Euromonitor International is headquartered in London, with regional offices in Chicago, Singapore, Vilnius, Bangalore, Dubai, Santiago, Tokyo, Hong Kong, Shanghai, Seoul, Sydney, Cape Town, and Sao Paulo. It has about 1,250 employees and a network of over 800 analysts worldwide.
Job Description
The Consulting analytics team is currently looking for a data analyst to work on client based econometric modelling projects as well as large internal projects ran from our Vilnius office.
The successful candidate will use and explore various innovative economic, econometric, and statistical modelling tools that best help us address our clients' strategic objectives.
A typical modelling and analytics project starts with the identification and conceptualization of our clients' needs and objectives. This is then followed by an evaluation of all possible solutions by their feasibility given available data and the client's objectives. The final stage often involves the identification of the most optimal economic or econometric solution.
As the data analyst gains experience in building client solutions, we will look to involve him/her in project opportunity screening and proposal build, developing modelling updates as well as driving client presentations and/or meetings.
Key responsibilities:
- Research and analyze economic, demographic and industrial data from around the world.
- Use econometric modelling techniques as well as analytical judgment to come up with custom solutions for our clients.
- Participation in internal peer review meetings and contribution to the best solution search process as well as giving comments on already created preliminary solutions.
- Presentation and visualization of model results to a client in an intuitive manner
- Draw conclusions based on the analysis of our results.
- Monitoring academic press for latest developments in economics and statistics to make sure we use cutting edge analytical techniques.
- Proper documentation of each project and sharing best modelling practices
- Commission and organize research, standardization and modelling by freelance associates in Lithuania and around the world.
- Liaise with sales and marketing department to evaluate client inquiries.
Key requirements:
- Excellent communication skills and English fluency (both oral and writing)
- Understanding and interest in international economic, demographic and industry trends
- A good working knowledge of either R or Python, preferably both.
- Experience in SQL, SPARQL, JavaScript, HTML or similar would be an advantage.
- Excellent analytics skills
- Excellent organizational skills and creativity
- The confidence and ability to take the post forward with the minimum of supervision.
- A strong knowledge in mathematics and/or statistics
- A genuine interest in Artificial Intelligence and related fields like data science and Machine learning would be an advantage.
- A strong knowledge in econometrics and economics would be an advantage.
- M.A. degree in economics, statistics, econometrics, mathematics, physics or similar field. Highly skilled candidates with a B.A. will also be considered.
Our values
- We act with integrity
- We are curious about the world
- We are stronger together
- We seek to empower
- We find strength in diversity
Hardworking but sociable: our staff know how to work hard but also how to enjoy themselves! We pride ourselves on creating an appropriate work-life balance, with flexible hours and regular socialising including frequent after work meet ups, summer and Christmas parties and a whole range of sports and other groups to be involved with.
Committed to making a difference: We think that people are looking for something worthwhile in a company beyond the workplace. Our extensive Corporate Social Responsibility Programme gives each member of staff two volunteering days a year in addition to holidays. It sees us reaching out into the local community with our mentoring, group volunteering, and fundraising initiatives as well as supporting international charities through our website sales, matching staff sponsorship fundraising, and carbon offsetting all our flights, amongst many other activities.
Opportunities to grow: we offer extensive training and development opportunities at all levels. The vast majority of our managers and directors have been promoted from within and many have moved across departments as well as upwards. We pride ourselves on identifying and rewarding talent.
Equal Employment Opportunity Statement: Euromonitor International does not discriminate in employment on the basis of race, colour, religion, sex, national origin, political affiliation, sexual orientation, gender identity, marital status, disability and genetic information, age, membership in an employee organization, or other non-merit factor.
