Overview:

Knowledge Services is seeking a remote Data Analyst for a contract through the end of June 2026 (potential for extension) with the State of Maine.

• Applicants are able to work 100% remotely
• Applicants must have prior experience in federal, state, or local government
• Please note that we cannot accept any candidates requiring C2C or those requiring sponsorship for a work visa.

Responsibilities:

Data Analyst Responsibilities include:

• Data analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.
• will work on multiple projects at the same time.
• Work will involve multiple data sources, business groups, and vendor partners.
• The amount of time spent on each project can vary during any time worked.
• Data analysts are often called to present their findings or translate the data into an understandable document.
• You will need to write and speak clearly, easily communicating complex ideas.
• This includes the ability to translate any communication between technical and non-technical teams, at various data levels such as a high-level business view, or individual data points.
• Analyst must also be comfortable audio/video conferencing, during any given portion of a workday.
• Working session can occur during any part of the day, and meetings are not always scheduled or planned.
• Communicating the planned process if data is incomplete is critical to project success.
• Data analysts must look at the numbers, trends, and data and come to conclusions based on the findings.
• This includes adaptability to a changing environment during a project.
• Data should be presented based on the results of the analysis with no decisions on accuracy or feasibility.
• It is important to keep in mind business or application processes may impact how the data is used.
• Data analysts must make sure they are vigilant in their analysis to include and report on all the available information.
• Attention to detail is also critical when working on multiple projects at the same time, as projects may share the same data sources or have the same business owners.

Qualifications:

DATA ANALYST REQUIRED SKILLS:

• 3+ years of experience as a Data Analyst
• 3-5 years of experience with data models, star schemas, data mining, and segmentation techniques
• Strong knowledge of and experience with databases and programming
• Strong knowledge of and experience with databases (Oracle, SQL etc.) and programming (XML, JavaScript, PL/SQL)
• Knowledge of statistics and experience using statistical packages for analyzing large datasets.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Adept at PL/SQL queries, report writing, and presenting findings.
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics
  Knowledge Services is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
  Applicants with disabilities may contact the Talent Division via telephone, e-mail, and other means to request and arrange for accommodations. If you need assistance to accommodate a disability, you may request an accommodation at any time. Please contact the Talent Services Team at TalentHR@knowledgeservices.com or 317.806.0005.

• Data analysts work with large amounts of data: facts, figures, and number crunching. You will need to see through the data and analyze it to find conclusions.
• will work on multiple projects at the same time.
• Work will involve multiple data sources, business groups, and vendor partners.
• The amount of time spent on each project can vary during any time worked.
• Data analysts are often called to present their findings or translate the data into an understandable document.
• You will need to write and speak clearly, easily communicating complex ideas.
• This includes the ability to translate any communication between technical and non-technical teams, at various data levels such as a high-level business view, or individual data points.
• Analyst must also be comfortable audio/video conferencing, during any given portion of a workday.
• Working session can occur during any part of the day, and meetings are not always scheduled or planned.
• Communicating the planned process if data is incomplete is critical to project success.
• Data analysts must look at the numbers, trends, and data and come to conclusions based on the findings.
• This includes adaptability to a changing environment during a project.
• Data should be presented based on the results of the analysis with no decisions on accuracy or feasibility.
• It is important to keep in mind business or application processes may impact how the data is used.
• Data analysts must make sure they are vigilant in their analysis to include and report on all the available information.
• Attention to detail is also critical when working on multiple projects at the same time, as projects may share the same data sources or have the same business owners