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Data Analyst
Russell Tobin San Francisco, CA
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$117k-152k (estimate)
Full Time Just Posted
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Russell Tobin is Hiring a Data Analyst Near San Francisco, CA

Position: Data Analyst

Contract: 7 Months (Extension Likely)

Location: San Francisco or Sunnyvale (Hybrid)

Pay Rate: $55-$65/HR (DOE)

Job Description:

  • ideal candidate will join the Data & Logistics team and be responsible for handling data analysis requests.
  • will be running SQL pre-written queries on a daily basis to pull requested data from databases, analyze data, and develop dashboards.
  • will have to work closely with cross functional teams.
  • will also assist with any troubleshooting and resolving issues, should they occur.

Must Haves for Role:

  • 2-3 years of experience
  • Bachelors degree in Math, Physics, Statistics, Economics, Computer Science
  • SQL skills, need to know how to write complex queries
  • experience with handling data in real world situations, understanding data limitations and how to overcome them
  • comfortable with excel/google sheets

Nice to Have:

  • working in a tech company
  • to learn
  • oriented
  • to work in a fast-paced work environment
  • and ability to deal with ambiguous issues on their own
  • communication skills
  • record as a team player

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

#CB

#LI-AP2

Job Summary

JOB TYPE

Full Time

SALARY

$117k-152k (estimate)

POST DATE

05/01/2024

EXPIRATION DATE

05/14/2024

WEBSITE

russelltobin.com

HEADQUARTERS

MANHATTAN, NY

SIZE

25 - 50

TYPE

Private

CEO

LEO RUSSELL

REVENUE

<$5M

INDUSTRY

Business Services

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About Russell Tobin

Russell Tobin provides recruitment and staffing advisory services for accounting, administrative, banking and finance and supply chain sectors.

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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

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.

03/03/2022: Santa Maria, CA

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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