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Data Analyst

NEW YORK, NY | Full Time
Expired

Job Description

K2 Integrity is seeking an experienced data analyst for our Agile Technologies team.  Agile Technologies is responsible for developing and enhancing critical and time sensitive applications for our clients, both internally and externally. Interacting directly with senior management and key stakeholders, our team takes ideas and builds solutions from prototype to product.  The ideal candidate for this role will have strong technical skills in SQL, Python, R and machine learning algorithms, and handling all aspects of data lifecycle.

Responsibilities:

  • Perform ad-hoc analyses & communicate insights through compelling storytelling.
  • Develop packages to automate ETL, ensure data integrity, and identify information gaps.
  • Capable of working with disparate data sources and formulating data structures for analysis.
  • Translate business requirements into technical implementations based on system capabilities.
  • Define optimal solutions addressing functional and non-functional requirements taking into account capabilities across technologies.
  • Ensure deliverables comply with market standards.
  • Develop reusable solutions that adhere to pre-defined patterns.
  • Demonstrated ability to manage multiple competing projects while maintaining a high level of quality.
  • Encourage zero tolerance on data and technology defects when in UAT & Production.
  • Complex data mapping and workflow implementations.
  • Take initiative, own your work, and persistent in following your efforts to completion.

Requirements

  • Bachelor’s degree in data analytics or computer science fields.  Advanced degree preferred.
  • Minimum of 3 – 5 years SQL development.
  • Solid understanding of the ETL process and application of best practices.
  • Applied knowledge of basic statistical methods.
  • 1 – 2 years in Visualization/Storyboarding tools (D3, Tableau, Power BI, etc.) is a plus.
  • Intermediate level knowledge of SQL – indexes, normalization, schemas, stored procedures, and triggers     
  • Solid understanding of statistical concepts.
  • Familiarity with Python/C# is a plus.
  • Able and motivated to learn new technologies.
  • Proven ability to multi-task, manage a heavy workload and perform with a sense of urgency.
  • Able to adapt quickly to new functional areas and/or concepts and to changing and/or competing priorities.
  • Proven strong analytical, critical thinking, and communication skills. 
  • Microsoft Excel skills (pivot tables, macros, look-up functions, VBA, etc.)   
  • Strong proficiency with other Microsoft applications (Power Point, Access, Visio, Word.)     
  • Ability to organize complex data, analyze financial data in a fast-paced environment.
  • Articulate, confident, and capable to communicate with and influence others on strategic deliverables.
  • Problem solving skills, good critical thinking and decision-making skills.
  • Experience / understanding of business process/modeling concepts.
  • Self-motivated and driven to achieve targets and deliverables, with strong attention to detail and accuracy.

Skills for Data Analyst

The job skills required for Data Analyst include SQL, Insight, Business Requirements, Problem Solving, Tableau,and Computer science etc. Having related job skills and expertise will give you an advantage when applying to be a Data Analyst. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Analyst. Select any job title you are interested in and start to search job requirements.

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Career Path for Data Analyst

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 Business Data Analyst III 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.

How to Become a Data Analyst

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 a Data Analyst

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Step 2 Knowing the best tips for becoming a Data Analyst can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

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Step 3 View the best colleges and universities for Data Analyst

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