Data Analyst

Technix LLC; Maine; Remote; USD 73,000 - 130,000; Full time

Job summary

A leading company in software development is seeking a Data Analyst to join their remote team. The ideal candidate will have a minimum of 3 years of experience in data analysis, strong skills in database management, and the ability to communicate complex data insights clearly. This role requires adaptation to changing project environments and the ability to handle multiple priorities simultaneously.

Qualifications

• 3+ years of experience as a Data Analyst.
• Experience with data models, star schemas, data mining, and segmentation techniques.
• Strong knowledge of databases and programming.

Responsibilities

• Analyze large amounts of data to find conclusions.
• Communicate findings effectively to technical and non-technical teams.
• Present data accurately based on analysis.

Skills

Analytical Skills

Communication Skills

Critical Thinking

Attention to Detail

Education

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Tools

Oracle

SQL

XML

JavaScript

PL/SQL

Job description

1 week ago Be among the first 25 applicants

• 3+ years of experience as a Data Analyst
• 3-5 years' experience with data models, star schemas, data mining, and segmentation techniques
• Strong knowledge of and experience with databases and programming
  
  

Position: Data Analyst

Duration: 1 year

Location: Maine (100% Remote)

Top 3 Skills

• 3+ years of experience as a Data Analyst
• 3-5 years' experience with data models, star schemas, data mining, and segmentation techniques
• Strong knowledge of and experience with databases and programming
  
  

Job Description

• Analytical Skills: 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. EWA Data Analyst 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.
• Communication Skills: 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.
• Critical Thinking: 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.
• Attention to Detail: 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.
  
  

Additional Skills/Qualifications

• 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.
  
  

Education

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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