Junior Data Analyst

Centennial Infotech; New York, Northern (NY, KY); Hybrid; USD 55,000 - 75,000; Full time

Job summary

Centennial Infotech is seeking a detail-oriented Junior Data Analyst to join our team in New York. You will transform complex data sets into actionable insights, build reporting dashboards, and support data-driven decisions across cross-functional teams.

Responsibilities include collecting and cleaning data, producing automated dashboards, and analyzing trends to identify optimization opportunities. This role offers an opportunity to grow technical skills in a dynamic environment.

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Information Systems, or a related quantitative field.
• Proficiency in SQL for querying and manipulating relational databases.
• Hands-on experience with data visualization tools such as Power BI, Tableau, or Excel dashboards.
• Basic programming skills in Python or R for data manipulation and analysis (Pandas, NumPy).
• Advanced Microsoft Excel skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).
• Solid understanding of core statistical concepts (mean, standard deviation, probability distributions, regression).
• Strong problem-solving skills, attention to detail, and the ability to communicate complex data findings to non-technical stakeholders.

Responsibilities

• Data Collection & Cleaning: Extract data from various databases, perform data hygiene checks, and ensure data integrity across repositories.
• Reporting & Dashboards: Design, develop, and maintain automated dashboards and recurring reports to track KPIs and business metrics.
• Data Analysis: Analyze large data sets to identify trends, anomalies, patterns, and optimization opportunities.
• Cross-Functional Collaboration: Partner with product, operations, and business stakeholders to translate reporting needs into technical queries.
• Process Documentation: Document data collection methodologies, query logic, data dictionaries, and reporting procedures.

Skills

SQL querying

Analytical thinking

Python or R

Microsoft Excel

Data storytelling

Education

Bachelor’s degree in Data Science or related quantitative field

Tools

Power BI

Tableau

Excel dashboards

Python

R

Job description

Centennial Infotech is seeking a detail-oriented and analytical Junior Data Analyst to join our team. In this role, you will play a key part in transforming complex data sets into actionable insights that drive business decisions and strategic growth. Working closely with cross-functional teams, you will gather, clean, and analyze data to help monitor key business metrics, build reporting dashboards, and solve complex operational challenges. This position offers an excellent opportunity for an ambitious individual eager to launch their career in data analytics, expand their technical skills, and deliver meaningful business value in a dynamic environment..

Requirements

• Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Information Systems, or a related quantitative field.

• Technical Skills:

  • Proficiency in SQL for querying and manipulating relational databases.

  • Hands‑on experience with data visualization tools such as Power BI, Tableau, or Excel dashboards.

  • Basic programming skills in Python or R for data manipulation and analysis (Pandas, NumPy).

  • Advanced Microsoft Excel skills (Pivot tables, VLOOKUP/XLOOKUP, complex formulas).

• Analytical Ability: Solid understanding of core statistical concepts (e.g., mean, standard deviation, probability distributions, regression).

• Soft Skills: Strong problem‑solving skills, attention to detail, and the ability to effectively communicate complex data findings to non‑technical stakeholders.

Responsibilities

• Data Collection & Cleaning: Extract data from various internal and external databases, perform data hygiene checks, and ensure data integrity and accuracy across repositories.

• Reporting & Dashboards: Design, develop, and maintain automated dashboards and recurring reports to track key performance indicators (KPIs) and business metrics.

• Data Analysis: Analyze large data sets to identify trends, anomalies, patterns, and operational optimization opportunities.

• Cross‑Functional Collaboration: Partner with product, operations, and business stakeholders to understand reporting needs, translate requirements into technical queries, and deliver data‑driven solutions.

• Process Documentation: Document data collection methodologies, query logic, data dictionaries, and reporting procedures to support data governance and knowledge sharing.