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Data Analyst
SPECTRAFORCE Seattle, WA
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$102k-134k (estimate)
Full Time 6 Days Ago
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SPECTRAFORCE is Hiring a Data Analyst Near Seattle, WA

Job Role: Data Analyst

Location: Seattle, WA, 98119 (2-3 days onsite)

Duration: 12 Months Contract

2-3 traits required

  • Problem solving effectively, Multi-tasking in fast paced environment with sometimes little turnaround time
  • Organizational skills
  • Confident and comfortable working with inconsistent data sets
  • Diligent
  • Moving quickly and deliberately, using data to guide decisions and testing to achieve breakthroughs
  • Communicating directly, sharing feedback at all levels, and engaging in debate while maintaining objectivity

3-4 functional activities

  • Extract, load and transform data from multiple sources for global compliance reporting
  • Validate and verify data attributes via third party tools, internal tools, and via weblinks
  • Examine data quality issues for consistency and accuracy, identify resolutions
  • Investigate inconsistencies
  • Participate in testing for various test cases a set of reporting requirements by jurisdiction

Technical Skills Required

  • Understanding of common reporting and file transfer technologies
  • Proficiency in SQL, Tableau, Excel (e.g.vlookups, sumifs,pivots)
  • Experience with Power BI, a plus
  • Experience with the use of various data analytic tools

Nice to Have

  • Experience in the platform or gig economy
  • Two sided marketplaces
  • Compliance reporting

Description:

General Responsibilities: Work with large amounts of data: facts, figures, and number crunching. Strongest skill sets include SQL and Excel. Ability to see through the data and analyze it to find conclusions. Look at the numbers, trends, and data and come to new conclusions based on the findings.

About Us: Established in 2004, SPECTRA FORCE ® is one of the largest and fastest-growing diversity-owned staffing firms in the US. The growth of our company is a direct result of our global client service delivery model that is powered by our state-of-the-art A.I. proprietary talent acquisition platform, robust ISO 9001:2015/ISO 27001 certified processes, and strong and passionate client engaged teams. We have built our business by providing talent and project-based solutions, including Contingent, Permanent, and Statement of Work (SOW) services to over 140 clients in the US, Canada, Puerto Rico, Costa Rica, and India. Key industries that we service include Technology, Financial Services, Life Sciences, Healthcare, Telecom, Retail, Utilities and Transportation. SPECTRA FORCE is built on a concept of “human connection,” defined by our branding attitude of NEWJOBPHORIA®, which is the excitement of bringing joy and freedom to the work lifestyle so our people and clients can reach their highest potential. Learn more at: http://www.spectraforce.com

Benefits: SPECTRA FORCE offers ACA compliant health benefits as well as dental, vision, accident, critical illness, voluntary life, and hospital indemnity insurances to eligible employees. Additional benefits offered to eligible employees include commuter benefits, 401K plan with matching, and a referral bonus program. SPECTRA FORCE provides unpaid leave as well as paid sick leave when required by law.

Equal Opportunity Employer: SPECTRA FORCE is an equal opportunity employer and does not discriminate against any employee or applicant for employment because of race, religion, color, sex, national origin, age, sexual orientation, gender identity, genetic information, disability or veteran status, or any other category protected by applicable federal, state, or local laws. Please contact Human Resources at LOA@spectraforce.com if you require reasonable accommodation.

At SPECTRA FORCE , we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $45.00/hr.

Job Summary

JOB TYPE

Full Time

SALARY

$102k-134k (estimate)

POST DATE

06/16/2024

EXPIRATION DATE

07/05/2024

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The following is the career advancement route for Data Analyst positions, which can be used as a reference in future career path planning. As a Data Analyst, 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. You can explore the career advancement for a Data Analyst below and select your interested title to get hiring information.

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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

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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.

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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.

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