Vadodara, Gujarat, India
Information Technology
Full-Time
Numerator
Overview
Responsibilities:
Day-to-day:
Education & Experience
Day-to-day:
- Able to act independently under guided supervision to investigate issues
- Co-ordinate work and build strong relationships with On-Shore Managers
- Able to form views on how new processes ought to be constructed.
- Able to contribute both to BAU (Business as Usual) enhancements and to work under the umbrella of a project.
- Responsible for End of Period checks : volume & quantity extremes and trends checks (comparison with external data )
- Communication Skills: Excellent written and verbal communication skills to effectively communicate with diverse audiences.
- Develops a basic understanding of the Operations functions
- Develop an understanding of the Commercial usage of our data
- Develop a broader understanding of our direct competitors
- Take ownership for self-development and where available participate in structured training.
- Gains proficiency in all relevant databases, data interrogation and reporting tools (for example Databricks, SQL, Python , Excel, MyWorldpanel etc.)
- Be able to communicate in an appropriate manner (e.g. verbally, presenting or creating a PowerPoint, Word document, email)
- Adhering to deadlines and escalating where there is a risk of delays
- Demonstrate and role model best practise and techniques including positive communication style.
- Displays a proactive attitude when working both within and outside of the team.
- Demonstrates clear, direct and to the point communication at Data Methods team meetings
- Proactive identification and root cause analysis of Data Methods issues and development of best practice solutions to improve the underlying methodology and processes.
- Support regular methodology review meetings with On-Shore Manager and Leads to establish priorities and future requirements.
- Knowledge sharing through the team, in either team meeting or day-to-day with the wider Data Methods team
- Able to think through complex processes and to how to construct and improve them, considering in detail the positive and negative implications of different approaches and how best to test and assess them.
- Organising your workload efficiently
- Adhering to schedules
- Escalating any risks to deadlines and capacity challenges
Education & Experience
- Bachelors, Masters, Doctorate Degree
- 0-2 years experience
- Awareness of sampling and weighting principles
- Strong statistical, numerical and logical skills
- Strong aptitude for data analysis
- Strong knowledge of metrics and KPIs
- SQL (intermediate)
- Python (intermediate)
- Excel (advanced)
- Power BI (intermediate)
- Databricks (desirable)
- Azure Dev Ops (basic)
- Access (basic)
- Passionate about data quality, integrity and best practices
- Passionate about delivering high quality data to clients on schedule
- Good English communication, presentation, interpersonal and writing skills
- Good listening skills
- Good online, virtual, and in-person collaboration skills
- Comfortable presenting panel and data methods to external audiences (internal)
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