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Data Analyst Job Opening In Lake Saint Louis – Now Hiring NISC


Job description

Company Overview:


For more than 50 years, NISC has developed and implemented enterprise-level and customer-facing software solutions for over 960+ utilities and broadbands across North America.

Our mission is to deliver technology solutions and services that are Member-focused, quality driven and valued priced.

We exist to serve our Members and help them serve their communities through our innovative software products, services and outstanding customer support.

NISC has been ranked in ComputerWorld’s Best Places to Work for twenty-two years, and we are looking for qualified individuals to join our team.

Position Overview:


We are seeking an experienced Data Analyst to join our growing team of data analytics experts.

The hire will be responsible for designing, curating, communicating and optimizing our data Models and data architecture for reporting and analytics use cases.

The Data Analyst will support our application experts, software developers, database architects, and data engineers in building out functional data assets and products to meet our end user and application requirements.

They must be comfortable supporting the data needs of multiple teams, systems, and products.

We look for individuals who can learn quickly, help others and contribute to our common goals in both a small team and broader group environment and are excited by the prospect of optimizing or even re-designing our company’s data architecture and have some fun along the way.

Primary Responsibilities:

  • Work with stakeholders including the Executive, Product, Data and Design teams to understand the value drivers related to data requirements from the business and end users’ perspective.


  • Design and create data models that meet specific short and long-term business needs in an agile and fast paced environment.


  • Collaborate on best practices and standards for Data Analysis at NISC.


  • Serve as a Subject Matter Expert for a specific business domain.

    (i.e. Sales, Marketing, Broadband, etc.)

  • Analyze and understand relationships between data fields and tables in the Transactional and Analytical layers.

  • Mentor and Enable other Data Analysts within the team.


  • Build and maintain Business relevant metrics, Measures, Views, etc.


  • Build Visualizations for Communicating Insights from Data Analysis.


  • Perform Analysis leveraging BI and Other analytical methodologies and tools.

  • Work with Data Scientists to define more advanced data needs and analysis.

  • Some Data Governance responsibilities may be part of this role (maintain data Catalogs and Data definitions, Define Data Quality rules, etc.).


  • Data Modelling and relationship creation - Data Model diagrams, Star Schema/Snowflake Schema, Relationship diagrams, Metrics, Measures, Dimensions, etc.


  • Work with other data professionals to strive for greater functionality while making data more discoverable, addressable, trustworthy, and secure.


  • To Closely engage and interact with the Product Owner and Stakeholders to understand, document, and define the specific data and business logic required to achieve the product objective.

  • Translate data and business requirements and work with Data engineers and Developers to determine technical requirements.

    Including access and security requirements, frequency and latency requirements Compliance and PII requirements, Unity Catalog schema preferences, etc.


  • Provide example queries and data examples for Data Engineers to reference.


  • Test, Validate and Document deliverables.

  • Create and define Data Models that properly combine multiple data sources.


  • Define data joins, aggregations, metrics and calculations.

  • Update, maintain and manage business requirements and documents as required.


  • Maintain constant communication and collaboration with the team.

  • Create and maintain a culture of engagement and one that is conducive of NISC’s Statement of Shared Values.


  • Commitment to NISC’s Statement of Shared Values.

  • Other duties as assigned.
  • Desired Experience and Skills:

  • 5+ years of experience working in data analyst or database/data engineer related position.

  • Experience analyzing data requirements from business users and application experts for a variety of functional areas.

  • Ability to leverage Data languages (SQL, Python, etc.) to analyze, model, structure, extract and gain insight from different sources and use cases.


  • Able to create and utilize an array of visualization tools and techniques to properly show and communicate data concepts to end users and model possible insights

  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

  • Strong analytic skills related to working with unstructured datasets.

  • Candidate with experience in a Data Analyst role, who has attained a BS or MS degree in Data Analysis, Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

    They should also have experience using the following software/tools: Experience with Cloud environments for Analytics (Azure, AWS, GCP, etc) Experience querying and analyzing data from relational SQL and NoSQL databases, including Oracle, Postgres Cassandra, and DynamoDb.
    Experience with Databricks and Delta Lake.


  • Nice-to-have: Experience with data analysis tools and languages such as: Python, SQL, R, DAX, and similar technologies.


  • Strong verbal and written communication skills.


  • Ability to demonstrate composure and think analytically in high pressure situations.

  • Work Schedule: 

  • Hybrid from one of our office locations: Cedar Rapids, IA
    Lake Saint Louis, MO
    Mandan, ND

  • Hybrid Schedule: Minimum of working 3 day per week out of an office location and ability to work up to all 5 days a week from an office location.

  • Required Days from an Office Location: Tuesday and Wednesday - the third required day will be up to the candidate and their supervisor to choose 
  • NISC’s Shared Values & Competencies:


    We’re a cooperative, which means we’re owned by the Members we serve.

    It also means that our focus is on taking care of our Members and our employees, rather than having a big bottom line.

    Quality service and innovative technology starts with happy and dedicated employees.

    Join our team and learn for yourself what sets NISC apart.

  • Integrity – We are committed to doing the right thing – always.

  • Relationships – We are committed to building and preserving lasting relationships.

  • Innovation – We promote the spirit of creativity and champion new ideas.

  • Teamwork – We exemplify the cooperative spirit by working together.

  • Empowerment – We believe individuals have the power to make a difference.

  • Personal Development – We believe the free exchange of knowledge and information is absolutely necessary to the success of each individual and the organization.
  • Benefits:

  • Medical, Dental and Vision Insurance.

  • Health Savings Account (HSA) with $100 monthly contributions from NISC.

    Like to walk?

    Improve your overall wellness knowledge?

    Ability to earn up to $800 additional dollars into your HSA each year through our Wellness Rewards program.


  • Dependent Care Flexible Spending Account (FSA) thru Paylocity.

  • Fully covered life insurance up to x3 annual base salary.

  • Fully covered short- and long-term disability.

  • 401(k), traditional or Roth, with employee match up to 6% and employer 4% salary base contributions.

  • PTO accrual levels dependent on years of service, 120 Life Leave Event hours, and 9 paid holidays.

  • $2,500 Interest-FREE technology loan program.

  • $25,000 employee educational assistance program.

  • Volunteer, Wellness, Family Events and other employee fun supplied by our committees.

  • Employee Assistance Program; assisting employees and dependents with virtually any life event

  • Benevolence Committee to support employees with financial hardships like unexpected medical bills, funerals and other unfortunate hardships.
  • Education Preferred:

  •  Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or similar discipline, preferred.

  • Minimum Physical Requirements:


    The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

    Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

    While performing the essential functions of this position, employees must be able to see and communicate.

    Employees are regularly required to maintain a stationary position, move, and operate computer keyboards or office equipment.

    Disclaimer:


    Management may modify this job description by assigning or reassigning duties and responsibilities at any time.

    Key Words: 


    SQL | Data | Analyst | Big Data | Databricks | ETL | BI | DBA | Data Modelling | Data Curation | Data Product | Data Governance | Data Quality 

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Analyst Potential: Insight & Career Growth Guide


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    Are You Looking for Data Analyst Job?

    Great news! is currently hiring and seeking a Data Analyst to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NISC adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying United States laws and regulations

    What Is the Average Salary Range for Data Analyst Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Lake Saint Louis. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Analyst?

    Key qualifications for Data Analyst typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Data Analyst Job Success

    NISC interview tips for Data Analyst

    Here are some tips to help you prepare for and ace your Data Analyst job interview:

    Before the Interview:

    Research: Learn about the NISC's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Data Analyst interview at NISC, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NISC's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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