Data Analyst

  • location: Dallas, TX
  • type: Temp to Perm
  • salary: $54 - $65 per hour
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job description

Data Analyst

job summary:
What You'll Do:

- Scope analytics projects including determining optimal analytical approach, identifying business and data assets, developing execution plans, and conducting analysis

- Design, develop, and deliver analytic models, findings, and reports for the purpose of quantifying performance of business areas and evaluating operational changes

- Build relationships and consult with all levels of internal business partners including executives, managers, business users, and developers

- Gather relevant quantitative and qualitative information by extracting data from databases and engaging with business partners

- Interpret data, identify relevant analyses, and develop models and/or reports with the goal of providing actionable insights that support the business area

- Create and deliver presentations and reports that communicate messages clearly to business partners, with an emphasis on story telling

- Work independently as well as contribute to team problem-solving efforts to meet partner deadlines and objectives

- Identify ways to improve legacy processes and reports, helping the team progress and bypass technical debt

- Robust analytics background needed; modeling/statistical/advanced analytics experience

- 4+ years of relevant experience in an analytics capacity (Experience as a data analyst, statistical analyst, or similar analytical role; Consulting experience a plus)

- Strong programming/data processing experience (including use of statistical software such as SAS, Python, R, SPSS, or Stata), in context of deriving analytic insights and performance measurement

- Excellent analytical skills with demonstrated ability to solve problems; Ability to "tell a story" with data

- Strong interpersonal, communication, and presentation skills. Ability to effectively interact with all levels of stakeholders

- Ability to explain and relate technical concepts to business leaders; Additionally, the ability to transform business issues into analytical models

- Strong problem solving and troubleshooting skills

- Experience and proficiency working with large relational databases (Teradata, Oracle, SQL Server, Postgres, etc.)

- Ability to creatively take on new challenges and work outside comfort zone

- Proven experience effectively prioritizing workload to meet deadlines and work objectives

Preferred:

- Financial services experience

- Experience analyzing and effecting change in Operations domain

- Graduate degree in a quantitative field and/or MBA highly preferred

- Experience with querying big data stores: (Hive, Drill, Hadoop)

- Proficiency in developing reports using data visualization platforms (Tableau preferred, Qlikview, Spotfire, PowerBI, JavaScript etc.)

- Knowledge of relational database structures, principles, and practices

 
location: Dallas, Texas
job type: Contract
salary: $54 - 65 per hour
work hours: 8 to 5
education: Associates
 
responsibilities:
What You'll Do:

- Scope analytics projects including determining optimal analytical approach, identifying business and data assets, developing execution plans, and conducting analysis

- Design, develop, and deliver analytic models, findings, and reports for the purpose of quantifying performance of business areas and evaluating operational changes

- Build relationships and consult with all levels of internal business partners including executives, managers, business users, and developers

- Gather relevant quantitative and qualitative information by extracting data from databases and engaging with business partners

- Interpret data, identify relevant analyses, and develop models and/or reports with the goal of providing actionable insights that support the business area

- Create and deliver presentations and reports that communicate messages clearly to business partners, with an emphasis on story telling

- Work independently as well as contribute to team problem-solving efforts to meet partner deadlines and objectives

- Identify ways to improve legacy processes and reports, helping the team progress and bypass technical debt

- Robust analytics background needed; modeling/statistical/advanced analytics experience

- 4+ years of relevant experience in an analytics capacity (Experience as a data analyst, statistical analyst, or similar analytical role; Consulting experience a plus)

- Strong programming/data processing experience (including use of statistical software such as SAS, Python, R, SPSS, or Stata), in context of deriving analytic insights and performance measurement

- Excellent analytical skills with demonstrated ability to solve problems; Ability to "tell a story" with data

- Strong interpersonal, communication, and presentation skills. Ability to effectively interact with all levels of stakeholders

- Ability to explain and relate technical concepts to business leaders; Additionally, the ability to transform business issues into analytical models

- Strong problem solving and troubleshooting skills

- Experience and proficiency working with large relational databases (Teradata, Oracle, SQL Server, Postgres, etc.)

- Ability to creatively take on new challenges and work outside comfort zone

- Proven experience effectively prioritizing workload to meet deadlines and work objectives

Preferred:

- Financial services experience

- Experience analyzing and effecting change in Operations domain

- Graduate degree in a quantitative field and/or MBA highly preferred

- Experience with querying big data stores: (Hive, Drill, Hadoop)

- Proficiency in developing reports using data visualization platforms (Tableau preferred, Qlikview, Spotfire, PowerBI, JavaScript etc.)

- Knowledge of relational database structures, principles, and practices

 
qualifications:
What You'll Do:

- Scope analytics projects including determining optimal analytical approach, identifying business and data assets, developing execution plans, and conducting analysis

- Design, develop, and deliver analytic models, findings, and reports for the purpose of quantifying performance of business areas and evaluating operational changes

- Build relationships and consult with all levels of internal business partners including executives, managers, business users, and developers

- Gather relevant quantitative and qualitative information by extracting data from databases and engaging with business partners

- Interpret data, identify relevant analyses, and develop models and/or reports with the goal of providing actionable insights that support the business area

- Create and deliver presentations and reports that communicate messages clearly to business partners, with an emphasis on story telling

- Work independently as well as contribute to team problem-solving efforts to meet partner deadlines and objectives

- Identify ways to improve legacy processes and reports, helping the team progress and bypass technical debt

- Robust analytics background needed; modeling/statistical/advanced analytics experience

- 4+ years of relevant experience in an analytics capacity (Experience as a data analyst, statistical analyst, or similar analytical role; Consulting experience a plus)

- Strong programming/data processing experience (including use of statistical software such as SAS, Python, R, SPSS, or Stata), in context of deriving analytic insights and performance measurement

- Excellent analytical skills with demonstrated ability to solve problems; Ability to "tell a story" with data

- Strong interpersonal, communication, and presentation skills. Ability to effectively interact with all levels of stakeholders

- Ability to explain and relate technical concepts to business leaders; Additionally, the ability to transform business issues into analytical models

- Strong problem solving and troubleshooting skills

- Experience and proficiency working with large relational databases (Teradata, Oracle, SQL Server, Postgres, etc.)

- Ability to creatively take on new challenges and work outside comfort zone

- Proven experience effectively prioritizing workload to meet deadlines and work objectives

Preferred:

- Financial services experience

- Experience analyzing and effecting change in Operations domain

- Graduate degree in a quantitative field and/or MBA highly preferred

- Experience with querying big data stores: (Hive, Drill, Hadoop)

- Proficiency in developing reports using data visualization platforms (Tableau preferred, Qlikview, Spotfire, PowerBI, JavaScript etc.)

- Knowledge of relational database structures, principles, and practices

 
skills: What You'll Do:

- Scope analytics projects including determining optimal analytical approach, identifying business and data assets, developing execution plans, and conducting analysis

- Design, develop, and deliver analytic models, findings, and reports for the purpose of quantifying performance of business areas and evaluating operational changes

- Build relationships and consult with all levels of internal business partners including executives, managers, business users, and developers

- Gather relevant quantitative and qualitative information by extracting data from databases and engaging with business partners

- Interpret data, identify relevant analyses, and develop models and/or reports with the goal of providing actionable insights that support the business area

- Create and deliver presentations and reports that communicate messages clearly to business partners, with an emphasis on story telling

- Work independently as well as contribute to team problem-solving efforts to meet partner deadlines and objectives

- Identify ways to improve legacy processes and reports, helping the team progress and bypass technical debt

- Robust analytics background needed; modeling/statistical/advanced analytics experience

- 4+ years of relevant experience in an analytics capacity (Experience as a data analyst, statistical analyst, or similar analytical role; Consulting experience a plus)

- Strong programming/data processing experience (including use of statistical software such as SAS, Python, R, SPSS, or Stata), in context of deriving analytic insights and performance measurement

- Excellent analytical skills with demonstrated ability to solve problems; Ability to "tell a story" with data

- Strong interpersonal, communication, and presentation skills. Ability to effectively interact with all levels of stakeholders

- Ability to explain and relate technical concepts to business leaders; Additionally, the ability to transform business issues into analytical models

- Strong problem solving and troubleshooting skills

- Experience and proficiency working with large relational databases (Teradata, Oracle, SQL Server, Postgres, etc.)

- Ability to creatively take on new challenges and work outside comfort zone

- Proven experience effectively prioritizing workload to meet deadlines and work objectives

Preferred:

- Financial services experience

- Experience analyzing and effecting change in Operations domain

- Graduate degree in a quantitative field and/or MBA highly preferred

- Experience with querying big data stores: (Hive, Drill, Hadoop)

- Proficiency in developing reports using data visualization platforms (Tableau preferred, Qlikview, Spotfire, PowerBI, JavaScript etc.)

- Knowledge of relational database structures, principles, and practices


Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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