Miller Kaplan is hiring a Junior Data Analyst with 0 - 3 years of experience. Based in United States - Burbank, CA and with Hybrid ways of working.

Job description and responsibilities

Job Summary

The Junior Data Analyst in the Data Analytics Department supports both external client engagements and internal practice groups by delivering data-driven insights and solutions. This role offers the opportunity to contribute to high-impact projects, collaborate across teams, and develop analytical expertise within a fast-growing practice area.

Success in this role requires the ability to prioritize effectively and perform in a fast paced, deadline driven environment while communicating with the team.

Duties/Responsibilities

Examine collected data to identify trends, outliers, and patterns, providing actionable insights to enhance client efficiency, profitability, or other specified objectives.

Gather and organize data from a variety of sources, including departmental heads, subject matter experts, reports, surveys, forecasts, and budgetary documentation, ensuring accuracy and completeness.

Convert reports into structured databases.

Design and implement secure, efficient, and accurate databases.

Perform data cleaning, transformation, and normalization to ensure consistency and accuracy.

Maintain data integrity and quality controls through validation checks and auditing.

Assist with query development (SQL) to support reporting and analysis.

Document database processes, definitions, and data dictionaries for transparency.

Collaborate with senior analysts or IT teams to support database performance tuning and troubleshooting.

Ensure compliance with data security, privacy, and access control.

Assist in developing and maintaining Python scripts to automate recurring data tasks, reporting, and file processing.

Support the development of ETL workflows that automate data cleaning, validation, and reconciliation to convert raw data into structured, reliable formats.

Apply basic VBA scripting within Excel to streamline reports, calculations, and client deliverables.

Document automation steps and maintain clear records for knowledge sharing and future improvements.

Retrieve, organize, and analyze data from databases to produce accurate and actionable reports.

Build and maintain interactive dashboards in Power BI, using visualization best practices to highlight key metrics and business trends.

Develop automated reporting solutions to reduce manual effort and improve reliability.

Present findings to management and clients with clear, data-driven insights that support decision-making.

Identify potential strategies to address issues uncovered during data analysis and provide well-reasoned suggestions for improvement.

Stay current on best practices and emerging trends in data storage, management, and analytics to ensure the firm utilizes state-of-the-art solutions, as well as the ability to apply new knowledge quickly.

Participate in the planning, execution, and monitoring of data-driven projects, ensuring timely and successful completion.

Work closely with team members, clients, and other stakeholders to support data-related initiatives and provide actionable recommendations.

Demonstrate the ability to manage multiple priorities and deliver accurate work in a fast paced, deadline driven environment.

Perform other related duties and projects as assigned.

Requirements and qualifications

Required Skills/Abilities

Strong analytical thinking with high attention to detail and accuracy.

Effective communication and presentation skills for staff and stakeholders at all levels.

Excellent organizational and time management skills; able to work independently and proactively.

Proficient in Microsoft Excel (formulas, pivots, Power Query, Power Pivot, DAX, M Code) and the broader Microsoft Office Suite.

Proficient in programming with Python or SQL.

Proficient with data visualization tools such as Power BI or Tableau.

Understanding of database design, structure, and query languages.

Familiarity with statistical methods (e.g., linear regression, logistic regression).

Respect for controls documentation and audit trails.

Ability to work in a fast-paced environment.

Preferred

Experience with relevant Python libraries (e.g., pandas, tkinter, openpyxl/xlwings, numpy, PDFplumber, sk-learn).

Experience with Machine Learning models and methodologies (Supervised/Unsupervised).

Familiarity with OCR methodologies and tools.

Familiarity with VBA (Visual Basic).

Familiarity with Azure fundamentals.

Prompt engineering and efficient use of utilizing AI.

Some exposure to Caseware IDEA software or similar audit/analytics tools.