Data Analyst

Sleepy Eye, MN, USA | Information Technology - IT | Full Time Position Overview & Responsibilities Christensen Farms is looking for a self-motivated Data Analyst to join our Decision Science team. In this position, you will play a significant role in helping grow and modernize our analytics services. As part of the company's data operations, the data analyst will ensure accuracy in decision science and reporting as well as responsibility for collecting, managing, and converting raw data into information that can be interpreted by the business. You will work with data stewards, domain experts and/or Business Analysts to bridge the gap between the Decision Science team and business functions. You will also work closely with our Data Engineer and DBA to manage and maintain key data infrastructure within SQL and IBM toolsets. This individual will need effective communication skills, communicating up, down and across the organization. This individual will also require the skill to multitask and manage simultaneous project activities that require innovative problem solving. Our goal is data accessibility to enable the organization to leverage data for performance evaluation and optimization. Major Areas of Accountability Engage with domain experts, Business Analysts, and Financial Analysts to define data requirements for specific business processes. Collecting data from various sources, building recommendations for Data Engineering team members to implement automated pipelines, ETLs, and ELTs. Ensure data accuracy, consistency, and integrity throughout the data analysis process. Identify and resolve data quality issues. Perform core SQL Server database administration tasks. Tasks include but are not limited to account administration, system health and performance, troubleshooting and real-time problem resolution Perform technical tasks for automated pipelines, ETL's and ELT's when a Data Engineer is unavailable Support and establish reports, dashboards, and visualizations using Power BI. Provides 2nd level employee support for decision science services. Troubleshoots, identifies issues and remediates data performance issues that come with developing, querying, and combining large data sets from a variety of sources. Works closely with application and technical teams to ensure that current and future services meet data architecture requirements. Collaborate with various business users to understand data definitions, analytics use cases, and assist in building data governance and detailed data requirements. Responsible for executing simultaneous project activities that require innovative problem solving. Research tools, disciplines and industry trends and recommend improvements for team or company consideration. Other duties assigned within the scope, responsibility, and requirements of the job. Education, Training and Experience Requirements: Minimum formal education required: Associates/bachelor's degree in data and analytics or an IT related discipline or 4+ years of equivalent work experience. 2 or more years of experience in a corporate IT Team environment. Exceptional technical skills required. Cloud based tools (Power BI, Data Factory, Databricks, Snowflake, H20.ai, Excel, database management, etc.). 2-3+ years Programming/scripting experience (SQL and/or Python) and working knowledge of the software development life cycle. 2+ years of experience engineering within a data warehouse or related experience with dimensional data modeling. Clear, concise, and precise written and verbal communication skills to effectively communicate with people of various backgrounds including non-technical audiences. Ability to multi-task and to prioritize objectives, anticipate situations and take quick action. Computer skills required: Working knowledge of Microsoft Office Suite including Visio Strict adherence to company confidentiality and ethical standards. Additional Desirable Skills/Qualifications Certifications in any of the following are a plus: Data Architecture (DASCA, TOGAF, etc.), ITIL. Enterprise application experience Cloud technologies (Public, Private, Dedicated, Hybrid). Experience in Level 2 and/or Level 3 employee support (Freshservice or similar ITSM tool). Employee computing devices including Windows, Android, and iOS. Experience working in an agricultural business, particularly the swine industry. Reports to: Information Services Manager Management Scope & Level of Responsibility: Contributor: Position without managerial responsibility Supervision of Others: Direct Reports: None Indirect Reports: None Physical Requirements: Climbing. Ascending or descending ladders, stairs, scaffolding, ramps, poles, and the like, using feet and legs and/or hands and arms. Bending or stooping. Bending body downward and forward by bending spine at the waist. Kneeling or squatting. Overhead reaching. Standing. Particularly for sustained periods of time. Sitting. Particularly for sustained periods of time. Walking. Pushing and pulling. Sedentary Lifting. Lifting up to 10 pounds occasionally and frequently lifting small tools or items. Although a sedentary job is defined as one which involves sitting most of the time, a certain amount of walking and standing is often necessary in carrying out job duties. Hearing. Perceiving the nature of sounds at normal speaking levels with or without correction. Motions of the wrists, hands, and/or fingers (i.e. typing, grasping, or gripping). Christensen Farms is an equal opportunity employer. It is our policy to select the most qualified person for each position in the organization. No employee of CF will discriminate against any applicant for employment or a fellow employee because of race, color, religion, sex, national origin, disability, citizenship status, genetic information, age, sexual orientation, gender identity, military status, veteran status or any other prohibited basis under applicable local, state, or federal law.