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Data Analyst
Cynet Systems San Francisco, CA
$116k-151k (estimate)
Full Time | IT Outsourcing & Consulting 1 Week Ago
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Cynet Systems is Hiring a Data Analyst Near San Francisco, CA

Job Details

We are looking for Data Analyst for our client in San Francisco, CA
Job Title: Data Analyst
Job Location: San Francisco, CA
Job Type: Contract
Job Description:
Pay Range $75hr - $82hr

  • The Trust Experience and Analytics team is looking for a data analyst with a strong delivery record of working with several data sources for identifying, analyzing, visualizing and interpreting trends for solving high priority business problems.
  • In this role, candidate will be working within a cross functional team of highly technical stakeholders to drive impactful results for Client, and be involved in the end-to-end project lifecycle right from problem definition to creating dashboards for sharing insights.
  • Partner with the business to understand the organization and its goals in order to ensure prioritization of highest impact initiatives.
  • Define, create and visualize metrics for problem definition for tracking project success/workstream health.
  • Collaborate with technical owners to deliver on impactful insights.
  • Create dashboards for weekly reporting.
  • Build strong relationships and trust with stakeholders, keeping them and their teams engaged in the project.

Skills and Requirements:

  • 5 years in a data analyst or similar role.
  • High proficiency in Advanced SQL and Airflow for developing queries and data pipelines.
  • Working knowledge and understanding of Experiments, Causation & Correlation, and Statistical models (eg. regression, Chi-square etc).
  • Experience with Superset, Tableau, or similar BI platform to develop reports and dashboards.
  • Ability to work independently with stakeholders, write requirements, and solve analytical problems in fast-paced, ambiguous environments.
  • Able to serve as a liaison between business and technical teams to drive effective, timely solutions, insights to actions, that fulfill both strategic and operational needs.
  • Able to team effectively with others and build relationships at all levels, both within the team and with stakeholders.

Highly Preferred:

  • Experience with Trust & Safety domain, ML models, and metrics.
  • Experience with Big Data/Analytics platforms/languages like Hive, Python, R is a big plus.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$116k-151k (estimate)

POST DATE

04/27/2024

EXPIRATION DATE

05/01/2024

WEBSITE

cynetsystems.com

HEADQUARTERS

ARCOLA, VA

SIZE

500 - 1,000

FOUNDED

2010

CEO

ASHWANI MAYUR

REVENUE

$50M - $200M

INDUSTRY

IT Outsourcing & Consulting

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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.

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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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