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Open nowFirst seen 3 days ago

Data Analyst for Testing

VORKIS knows what employer wants92 open roles

Pay
$92,281 – $120,735 a year
Where
Kharkiv, Ukraine
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Your applicationOpen nowData Analyst for TestingVORKIS knows what employer wants · Kharkiv, Ukraine

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on VORKIS knows what employer wants's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

The posting

Salary: $92,281 - $120,735 per year

Location: Ukraine, 61112, Kharkiv

Employment option:

Job type: Full time

Job Summary:

We are an innovative company looking for a skilled Middle Data Analyst to join our dynamic team. Our collaborative culture fosters creativity and leverages the latest technologies.

As a key member of our team, you will be responsible for collecting, processing, and analyzing large datasets to provide actionable insights that drive business decisions. You will play a vital role in helping our organization optimize performance and achieve strategic objectives through data-driven decision-making.

If you are a data enthusiast with a knack for uncovering trends and patterns, we would love to hear from you.

Skills

Must Have

Hard skills: - beginner in: Data Quality, Agile, Power BI, Python, Data Governance - competent in: SQL, Excel - proficient in: Data Modeling Nice-to-have

Hard skills: - novice in: Databases, Cloud Computing, Oracle, MySQL - beginner in: Tableau, Predictive Analytics, Statistical Analysis, Exploratory Data Analysis - competent in: RDBMS, Data Visualization, Machine Learning

Job Description

Additional Requirements

Qualification:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
  • B2+ English level

Experience:

  • Experience creating clear and impactful data visualizations using tools like Tableau or Power BI.
  • Experience with data warehousing and ETL processes.
  • 3+ years of experience as a Data Analyst or similar role.
  • Experience in implementing and tuning models, such as regression, classification, clustering, and decision trees.
  • Experience with data governance and data quality management.

Requirements:

  • Proficiency in data analysis methodologies, including statistical analysis, data mining, and data visualization.
  • Strong skills in SQL for data querying, data manipulation, and data extraction from relational databases.
  • A solid understanding of data concepts, data collection, data management, and the ability to interpret charts, reports, and visualizations.
  • Proficiency in programming languages such as Python or R for data manipulation, analysis, and visualization.
  • Strong skills in using SAS for data analysis, statistical modeling, and data management.
  • In-depth knowledge of relational database management systems, including the ability to design, query, and optimize databases.
  • The ability to approach complex problems with a logical and analytical mindset, applying appropriate methods and techniques.
  • A keen eye for detail to ensure data accuracy and identify anomalies or inconsistencies in datasets.
  • Strong written and verbal communication skills to effectively convey complex data findings to non-technical stakeholders.

Responsibilities

  1. Collaborate with teams to collect and clean data from various sources, ensuring data accuracy and integrity.
  2. Apply statistical methods and data analysis techniques to uncover patterns, trends, and insights from complex datasets.
  3. Create clear and visually appealing data visualizations, such as charts and graphs, to effectively communicate findings to stakeholders.
  4. Develop comprehensive reports that summarize data analysis results and provide actionable recommendations to support decision-making.
  5. Interpret data findings and translating them into meaningful insights and actionable recommendations for business stakeholders.
  6. Work closely with cross-functional teams to understand their data needs and provide analytical support to drive business objectives.
  7. Conduct quality checks on data to ensure accuracy, consistency, and completeness.
  8. Stay updated with industry trends, new tools, and techniques to enhance data analysis skills and stay at the forefront of the field.

About Company

Company Overview

Company Overview serves as an introduction to the company and helps candidates understand if the company aligns with their own values and career aspirations, enabling them to make informed decisions about whether to apply for the position.12

Company Culture

Company culture encompasses the values, beliefs, attitudes, and behaviors shared by the members of an organization. It defines the environment in which employees work and includes elements such as the company's mission, vision, goals, ethics, work atmosphere, and interpersonal relationships. A strong company culture promotes employee engagement, satisfaction, and productivity, fosters collaboration and innovation, and attracts and retains top talent. It plays a crucial role in shaping the overall employee experience and contributes to the organization's reputation and success. Cultivating a positive and inclusive company culture requires intentional effort from leadership and active participation from all employees.1

Application Process

  1. Application Submission: Candidates submit their application materials, such as resumes, cover letters, and any other required documents, through the company's application portal or via email. Initial Screening: Recruiters or hiring managers review the submitted applications to assess candidates' qualifications and suitability for the position.
  2. Interviews: Qualified candidates are invited to participate in one or more interviews, which may include phone screenings, video interviews, and in-person meetings. Assessments: Some companies require candidates to complete assessments or tests to evaluate their skills, abilities, and fit for the role.
  3. Background Check: Employers may conduct background checks to verify candidates' employment history, education credentials, and criminal record. Offer: If the candidate successfully completes the interview process and passes the background check, the employer extends a job offer.
  4. Negotiation: Candidates may negotiate the terms of the job offer, such as salary, benefits, and start date, before accepting the offer. Onboarding: Once the offer is accepted, the candidate goes through the onboarding process, which includes filling out paperwork, attending orientation sessions, and getting acquainted with company policies and procedures.
  5. Employment: The candidate officially becomes an employee and begins working in their new role within the organization.

Equal Opportunity Statement

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