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The purpose of the Data Analyst position is to review and validate data requirements, providing technical data solutions, and designing logical and physical data structures in support of business data needs. This position must demonstrate the ability to analyze business requirements to develop high-level and detailed data requirements, assist in design of data models, conduct business and technical data assessments, and document business metadata. This role would generally not have budgetary responsibility, but decisions may affect the services or products. This role requires regular analysis of data and the ability to meet interpersonal, analytical and organizational demands.
With moderate discretion, this position creates and maintains conceptual data models, high complexity logical and physical data models and assists in the transformation of these models to physical database implementation. This role assists Data and Business Intelligence Engineers in the design of complex databases with easy end-user access and balance design for optimized data access with resource utilization. Working under limited supervision, the problems encountered are somewhat complex and may require analysis of data. Finally, the role will require normal courtesy, tact and diplomacy, which involves much personal contact with others.
EDUCATION:
EXPERIENCE:
SKILLS:
• Strong analytical and problem-solving skills
• Excellent Communication and interpersonal skills
• Self-starter with an understanding of personal and team accountability
• Strong organizational and project management skills
• Familiarity with MS SQL Server administrative and development concepts, practices and procedures.
• Proven leadership skills
• Proficient in writing complex SQL queries
• Familiarity with database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
• Familiarity with Microsoft SQL Server Reporting Services (SSRS), Microsoft Power BI, Microsoft SQL Server Integration Services (SSIS) and/or other ETL technologies
• Thorough understanding of data governance and metadata management concepts
PREFERENCES:
• Familiarity with Agile methodologies such as SCRUM
CORE COMPETENCIES:
• Effective knowledge
• Accountability and self-management
• Teamwork and leadership
• Communication
• Innovation and problem-solving
WORKING CONDITIONS/PHYSICAL DEMANDS:
• Ability to communicate effectively in English, both orally and in writing
• Visually able to perform activities such as preparing and analyzing data and figures, viewing a computer terminal, and extensive reading
• Ability to sit for extended time periods
• Sufficient manual skill for operation of PC keyboard and other standard office equipment
• Ability to travel, including occasional overnight travel
• Ability to exert minimum amounts of force occasionally to lift, carry, push, pull or move objects
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At Members 1st, we look for individuals who will show up as their whole self because we value diversity, inclusion, and belonging, as well as people who believe in the philosophy of, WE>me. To be sure you align with our company mission, vision, values and culture reference the information below.
Company Culture is at Our Core
If there is one concept, we want you to understand about us, it is this. WE. It is a simple little word but means everything here. We think as one. One faM1ly. One community. One place where everyone belongs. Everything we do is in the best interest of all of us.
What WE Believe
Our Missions: WE serve our members, associates, and communities through support, empowerment, and meaningful relationships.
Our Vision: WE are growing our faM1ly by delivering everything they need to live well financially, through all life’s moments and milestones.
Our Values: WE deliver unparalleled experiences through a culture of WE. WE > me. WE are servant leaders- at work and in the communities we serve. WE are financially safe and sound stewards of members dollars. WE are faM1ly.
Company Perks: Quick Reference
Full Time
$90k-118k (estimate)
05/19/2024
05/23/2024
The following is the career advancement route for Data Analyst (PC 1915) positions, which can be used as a reference in future career path planning. As a Data Analyst (PC 1915), it can be promoted into senior positions as a Data Analyst IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Analyst (PC 1915). You can explore the career advancement for a Data Analyst (PC 1915) below and select your interested title to get hiring information.
If you are interested in becoming a Data Analyst, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Analyst for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Analyst job description and responsibilities
A data analyst also helps the business use the present data to make better business decisions and deliver better services to consumers.
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Their role will be like to work on collaborative, multidisciplinary teams with leaders where they can review and analyze data and to develop the presentation for the data consumption across the organization.
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Data analysts work constantly with stakeholders, fellow colleagues and data suppliers, so good communication skills are essential.
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Many data analysts are required to create presentations of their findings to share with stakeholders and other key members of an organization.
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Gathered requirements, analyze data and create functional/technical specifications to functionality required by new business rules, regulations or standards change.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Analyst jobs
Data analysts typically work with existing data to solve defined business problems.
02/20/2022: Laramie, WY
Data analysts rely on various tools to collect and make sense of their data.
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Banks and financial firms need data analysts for financial reporting and forecasting.
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Data analysts often work directly with more senior data team members like data scientists or data engineers.
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Predictive analysis refers to a data analyst's ability to use data, machine learning and statistical algorithms to predict the likelihood of future outcomes based on previous historical data.
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Step 3: View the best colleges and universities for Data Analyst.