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Data Analyst
$103k-134k (estimate)
Contractor 3 Weeks Ago
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Hexaware Technologies is Hiring a Data Analyst Near Mc Lean, VA

Hexaware is hiring System Analyst / Data Analyst, candidates need to work onsite at McLean, VA (Hybrid Model).

System Analyst / Data Analyst

Job Type: Fulltime/Contract

Job Location: McLean, VA

Need candidates who are Local to McLean OR willing to relocate to McLean.

Work Model: Onsite from Day1 – Hybrid (3 days onsite, 2 days remote)

Job Description:

  • 5 to 7 years’ experience with good hands-on experience on the database side
  • Hands on experience with data modeling – not the full design but should understand the tables
  • Strong Database knowledge, joins, normalization concepts
  • Work across client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining and data modeling.
  • Responsible for inspecting, cleansing, transforming, and modeling data and will address issues related to data completeness and quality.
  • Work directly with our software development team to ensure that we are creating best-in-class solutions to solve our customers’ complex data challenges.
  • Monitor the quality of data and examine complex data to optimize the efficiency and quality of the data being collected.
  • Support the deployment, monitoring, and maintenance of production use cases

Skills:

  • Must be proficient in SQL (DB2), NoSQL (Mongo DB query), JIRA, Snowflake, ETL, Data Lakes
  • Exposure to AWS cloud-based systems, API integrations, ETLs
  • Proficient in software or data testing.
  • Candidates must possess strong communication skills and problem-solving abilities.
  • Excellent customer skills are a must as well as strong aptitude to learn and adapt to new technologies.

Nice to have skills:

  • Data modeling experience
  • Snowflakes SQL, Collibra, Business Objects

Job Summary

JOB TYPE

Contractor

SALARY

$103k-134k (estimate)

POST DATE

05/19/2024

EXPIRATION DATE

10/05/2024

WEBSITE

hexaware.com

HEADQUARTERS

Irvine, CA

SIZE

3,000 - 7,500

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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.

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.

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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.

02/26/2022: Las Vegas, NV

Step 3: View the best colleges and universities for Data Analyst.

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