Data Analyst II

Faith Technologies•Menasha, WI

About The Position

The Data Analyst II helps the organization turn data into information, insight, and business decisions. The role collaborates with teams across the organization to support data-driven decision-making and acts as a liaison between Data and Analytics, Data Science, and internal customers. It develops requirements for data projects and efforts affecting data infrastructure, documents and tests data solutions, and helps prioritize the Data and Analytics work backlog. The analyst works with cross-functional teams to support data availability, reliability, and performance for analytics, reporting, and data science. The role contributes to and may lead project-related data efforts, supports business partners, project managers, Scrum Masters, and vendor resources, and leads requirements gathering and analysis for small to medium projects. It also coordinates and attends meetings, tracks action items and deliverables, and requires attention to detail, organization, communication, and self-initiative. The position works between 7 AM and 5 PM, Monday through Friday, but work may be performed at any time on any day of the week to meet business needs. Travel is 5–10%.

Requirements

  • At least 3 years of direct work experience as a Data Analyst, Business Analyst, or in a similar capacity.
  • High-level understanding of modern data warehouse, data lake, and lakehouse architectures.
  • Strong knowledge of data gathering, cleaning, and transforming techniques.
  • Demonstrated experience with SQL and relational databases such as MS-SQL.
  • Awareness of semi-structured data formats such as Parquet, JSON, and XML.
  • Awareness of modern data technologies and tools such as Hadoop, Spark, and Kafka.
  • Demonstrated experience with reporting and dashboarding tools such as PowerBI or Informatica.
  • Attention to detail, organization, communication, and self-initiative.

Nice To Haves

  • Bachelor’s degree in mathematics, economics, computer science, information management, or statistics, or equivalent education and/or work experience is preferred.

Responsibilities

  • Meet with business customers to understand and document their needs for data, analytics, and AI.
  • Implement data quality checks and monitoring to identify and rectify inconsistencies or anomalies.
  • Collaborate with internal business customers to understand and document data requirements.
  • Translate data findings into understandable documents and reports.
  • Work with the data team to design and implement data solutions.
  • Present data-driven recommendations to the team and stakeholders.
  • Informally mentor junior data team members.
  • Participate in a data governance Center of Excellence.
  • Contribute to and may lead project data-related efforts; support business partners, project managers, Scrum Masters, and vendor resources involved in execution.
  • Lead requirements gathering and analysis for small to medium projects.
  • Coordinate and attend meetings, and complete and track action items and deliverables.
  • Help prioritize the Data and Analytics work backlog.
  • Perform other related duties as required and assigned.

Benefits

  • Competitive, merit-based compensation.
  • Career path development.
  • Flexible and robust benefits package for regular/full-time team members.
  • Career development and continued education programs.
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