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Analyst

Karnataka, India (Hybrid)

Analyst

13 Hours ago • 1-2 Years • Data Analyst • Undisclosed

About the job

8 skills required for this role

Add these skills to join the top 1% applicants for this job

data-visualization

zabbix

python

sql

excel

quality-control

cross-functional

talent-acquisition

Job Description

This role focuses on ensuring data integrity and validity within Nielsen's Television Audience Measurement products. Responsibilities include performing data analysis to understand panelist behavior, creating quality control reports, monitoring KPIs, and making recommendations for data quality enhancement. The analyst will also be involved in panel health monitoring, forecasting recruitment needs, and collaborating with cross-functional teams. Daily tasks involve data collection, outlier identification, troubleshooting operational issues, and coordinating panel updates. The role requires proficiency in data analysis, quality control, and communication, with a focus on the accuracy and timely release of streaming data for multiple countries.

Must have:

Proficient in Excel/Google Sheets
Data analysis and quality control
Report creation and KPI monitoring
Collaboration and communication
Troubleshooting and problem-solving

Good to have:

SQL
Python
Data visualization
Excel/Gsheet scripting

Description:

To ensure through the different quality controls implemented in all the processes that lead to loading, the integrity and validity of the information resulting from the production systems in the TAM, Digital and Streaming operations.

Responsible for performing data analyses for deeper understanding of panelist behavior, creating required regular quality control reports, monitors and analyzing metrics and KPIs for Nielsen’s Television Audience Measurement products. QC Analyst also makes recommendations related to data quality or measurement enhancement.

A focus on the health of the panel in order to forecast and determine the recruitment, establishment survey, and demographic balance needs of the sample. Responsible for providing reports to management on team performance and main KPI indicators.

Collaboration with the team and internal client communication, including local country staff and cross-functional production departments, and the Operations Manager to ensure accurate classification of digital data.

Core Responsibilities

Monitoring and Quality Management
Working with different tools to collect data
combine datasets from different sources in order to identify quality gap/outliers in the data
Review KPI and quality reports on an on-going basis.
Anticipate defects and inefficiencies and formulate corrective actions (in collaboration with KPI / governance leadership).
Liaise with regional operations center, helpdesk and field management to ensure quality control priorities are set and executed by appropriate parties.
Investigate, trouble-shoot, and analyze operational issues to uncover root causes and recommend new best practice solutions for long-term impact
Coordination of panel updates (e.g. characteristic updates).
Validation and monitoring of production alerts / verifications Zabbix, MediaWorks, and Audio references from global countries 24 hours a day, 365 days a year and timely escalation to each country in order to avoid impacts on data releasable to customers.
Daily Quality Control prior to the Release of the Streaming data for multiple countries, providing end-to-end monitoring

Classification

Be the go to person for any quality related issue for any classification products
Support and help train the junior team members
Proactively identify potential risks to the data quality
Investigate and solve data and classification related questions from reporting teams/commercial teams
Day to day classifying of Web domains/ Mobile Apps/ Streaming domains for multiple digital classification products
Understand report production-related data classification processes to support the individual products including QA
Assist in the production flows and regulate all necessary production tasks with reporting cycles

Nice to Have

Knowledge/experience with sql, python, data visualization, excel/gsheet scripts will be strong advantage

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