Data Analyst (Python, SQL, ETL, BI tools)

Job Description

•  Support ID and Geo product team with mapping the customer request and Data in the system and answer the question if we can service the request. In case we don’t have data work with the stakeholders to identify the next steps
•  Be the SPOC between product and technology team. Identifying the methodology and data set need and knows how to perform EDA and feature engineering.
• Work with Data science team to achieve efficiencies for output and also assist the product team in any data related questions.
• Help track product and technology with overall delivery updates.

Key Responsibilities:

Data Collection & Preparation:

• Identify, collect, and extract data from various sources (databases, APIs, spreadsheets, etc.).
• Clean, transform, and validate data to ensure accuracy, completeness, and consistency for analysis.
• Develop and maintain robust ETL (Extract, Transform, Load) processes.

Data Analysis & Reporting:

• Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
• Monitor key performance indicators (KPIs) and provide regular updates on business performance.
• Conduct root cause analysis to explain data variances and propose solutions.

Stakeholder Communication & Collaboration:

• Act as a vital link between the technology team (responsible for data infrastructure, pipelines, and engineering) and the data science team (focused on advanced modeling and algorithms).
• Translate business problems into technical data requirements for the technology team.
• Translate complex data science findings and model outputs into understandable, actionable insights for non-technical stakeholders and the technology team
• Facilitate efficient data flow and communication to ensure data quality and accessibility for both teams.
• Participate in cross-functional meetings and workshops to gather requirements and present findings.

Foundational Data Science Understanding:

• Possess a foundational understanding of various data science modeling algorithms (e.g., regression, classification, clustering, time series analysis) to effectively understand the data science team's needs and outputs.
• Assist in the preparation of data for data science models and support the interpretation of model results.
• Contribute to defining success metrics and evaluating the impact of data science initiatives.

Tool Proficiency & Continuous Improvement:

• Utilize and recommend appropriate data analytics tools and technologies to optimize workflows and enhance insights.
• Stay abreast of industry best practices, new technologies, and emerging trends in data analytics and data science.
• Identify opportunities for process improvements and automation within the data analysis lifecycle.

Qualifications

Bachelor's degree in Computer Science, Statistics, Economics ,Mathematics, Information Systems, or a related quantitative field. Master's degree is a plus.

4+ years of experience in a Data Analyst, Consultant or similar role.

Strong proficiency with data analytics tools such as:

1. SQL: Advanced SQL for data extraction, manipulation, and analysis (e.g., PostgreSQL, MySQL, SQL Server, BigQuery).
2. Excel: Advanced Excel functions (pivot tables, VLOOKUP, macros) for data manipulation and quick analysis.
3. Business Intelligence (BI) Tools: Hands-on experience with at least one leading BI tool (e.g. Power BI).
4. Programming Languages (at least one): Proficiency in Python (with libraries like Pandas, NumPy) for data manipulation, statistical analysis, and visualization.

Foundational understanding of data science modelling algorithms, including but not limited to:

1. Linear Regression
2. Logistic Regression
3. Decision Trees/Random Forests
4. Clustering (K-Means, Hierarchical)
5. Time Series Analysis (ARIMA, Prophet - awareness is key)

Excellent analytical, problem-solving, and critical thinking skills.

Strong communication and interpersonal skills with the ability to explain complex data concepts to non-technical audiences.

Additional Information

• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
• Recharge and revitalize with help of wellness plans made for you and your family.
• Plan your future with financial wellness tools.
• Stay relevant and upskill yourself with career development opportunities

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion