Data Analytics Engineer II

38 Minutes ago • 3 Years +
Data Analysis

Job Description

We are looking for a Data Analytics Engineer II with experience in data visualization and analytics, along with strong proficiency in SQL for data extraction, transformation, and analysis. Intermediate Python skills for data manipulation and automation are beneficial. This role involves developing interactive dashboards, building scalable reporting solutions, and collaborating with cross-functional teams to provide actionable insights that drive data-driven decision-making. This role analyzes complex business problems using data, identifies trends, constructs forecasts, and creates reports based on business needs, providing insights to decision-makers.
Good To Have:
  • Business domain knowledge of supply chain, quality, manufacturing reporting.
  • Knowledge of SAP, SFDC, Camstar application reporting.
  • Prior experience in a manufacturing or engineering environment.
  • Familiarity with cloud databases such as Snowflake or BigQuery.
  • Conduct exploratory data analysis (EDA) to uncover data patterns.
Must Have:
  • Collaborate with business users to design data-driven solutions.
  • Build, optimize, and maintain interactive dashboards.
  • Monitor and improve reporting system performance and data integrity.
  • Leverage Python/ML for data manipulation and automation.
  • Document reporting processes, data flows, and user guidelines.
  • Expertise in SQL/Snowflake/Oracle for data extraction and analysis.
  • Proficiency in Tableau and Power BI for interactive dashboards.
  • Experience with relational databases like SQL Server, MySQL, PostgreSQL.
  • Strong communication and interpersonal skills for team collaboration.
Perks:
  • Inclusive environment where employees feel valued.
  • Zero-net gap in pay regardless of gender, ethnicity, or race.
  • Employee Resource Groups for career development and cultural awareness.

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Position Summary:

We are looking for a Data Analytics Engineer II with experience in data visualization and analytics, along with strong proficiency in SQL for data extraction, transformation, and analysis. Intermediate Python skills for data manipulation and automation are beneficial. This role involves developing interactive dashboards, building scalable reporting solutions, and collaborating with cross-functional teams to provide actionable insights that drive data-driven decision-making.

Position Responsibilities:

  • Collaborate with business users to gather requirements and design data-driven solutions using Tableau, Power BI, or other data visualization tools.
  • Build, optimize, and maintain interactive dashboards that provide deep data exploration and analytics capabilities.
  • Evaluate and incorporate new features and functionalities from reporting tools to continuously improve reporting efficiency and user experience.
  • Continuously monitor and improve the performance of reporting systems, ensuring data integrity and scalability.
  • Leverage Python / ML for advanced data manipulation, automation, and integration with reporting platforms to streamline processes and enhance analytics workflows.
  • Document reporting processes, data flows, and user guidelines for seamless knowledge transfer and system sustainability.
  • Stay up to date with emerging technologies and best practices in data analytics and visualization to continuously enhance reporting capabilities.
  • All listed tasks and responsibilities are essential to this position; however, business conditions may require reasonable accommodations for additional tasks and responsibilities.

Position Requirements:

  • Expertise in SQL/Snowflake/Oracle for data extraction, transformation, and analysis from large datasets, including the use of stored procedures, views, and functions.
  • Proficiency in Tableau and Power BI for building interactive dashboards and data exploration tools
  • Python / ML skills for data manipulation, automation, and integration with reporting solutions.
  • Intermediate knowledge and hands-on experience with relational databases such as SQL Server, MySQL, PostgreSQL, and/or cloud-based databases like Snowflake. Familiarity with integrating these databases into reporting tools for scalable, real-time analytics solutions.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
  • Business domain knowledge of supply chain, quality, manufacturing reporting is desirable but not mandatory
  • Knowledge of SAP, SFDC, Camstar application reporting is a plus

Preferred Experience/Education/Skills:

  • Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or related field.
  • Minimum of 3 years of experience in data analytics, reporting, and business intelligence. Prior experience in a manufacturing or engineering environment is preferred.
  • Experienced in using Tableau and Power BI to develop interactive dashboards and data exploration tools in previous roles.
  • Familiarity with cloud databases such as Snowflake or BigQuery is an advantage.
  • Conduct exploratory data analysis (EDA) to uncover data patterns and guide stakeholders in data-driven decision-making is a plus point

Core Job Summary

Position Summary:

Analyzes complex business problems and issues using data from internal and external sources to provide insight to decision-makers. Identifies and interprets trends and patterns in datasets to locate influences. Constructs forecasts, recommendations and strategic/tactical plans based on business data and market knowledge. Creates specifications for reports and analysis based on business needs and required or available data elements. May provide consultation to users and lead cross-functional teams to address business issues. May directly produce datasets and reports for analysis using system reporting tools.

Changes to individual responsibilities may occur due to business needs and other related duties may be assigned.

Scope of Responsibilities:

  • Applies core knowledge and understanding of area of specialization to provide solutions in creative and effective ways.
  • Assesses unusual circumstances and uses sophisticated analytical and problem-solving techniques to identify cause and suggest variations in approach.
  • Works on assignments of diverse scope where information is limited and problem solving requires adaptation of existing techniques.
  • Enhances internal and external working relationships and networks with senior partners within area of expertise.
  • Adapts style to differing audiences and often advises others on difficult matters that require persuasion.
  • Work is done independently and is reviewed at critical points.
  • Uses evaluation, judgment, and interpretation to select best course of action.

Experience/Education:

  • Typically requires a minimum of 3 years of related experience with a Bachelor’s degree

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