Associate Data Analyst/Data Operations

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What We'll Bring:

What You'll Bring:

Associate Data Analyst/Data Operations

OneTru Data Operations Team

As part of the Data Operations Team, this position should be focused on delivering actionable insights to evaluate and control data ingestion processes across multiple sources (Cloud and On-Prem). This individual will leverage state-of-the-art tools to cultivate the analytical methods needed to consistently refine and improve the efficiency and effectiveness of data onboarding processes.

In this role, you will be responsible for acting as an ETL Platform subject matter expert and processes that you will be involved in, along with being able to gather knowledge from other SMEs and requirements from key stakeholders.

Responsibilities:

• Identify, analyze, and troubleshoot possible data flow issues between servers and processing steps.
• Identify, analyze, and interpret trends or patterns across flows and data sets.
• Measure, track and report key performance indicators and quality metrics from large data sets, automated processes, and data processing stages.
• Find and solve data problems, ensuring timely short-term and long-term preventive solutions.
• Develop and improve existing processes to ensure data ingestion through the ETL Platform.
• Work with management and teammates to prioritize business and information needs.
• Locate and define new opportunities for process improvement or process automation.
• Deliver excellent customer support through efficient and accurate handling of tickets/requests and general program inquiries.
• Perform other work-related tasks and responsibilities assigned to you from time to time.
• Participate in new products and features deployment and propose technical solutions that meet business needs.

Requirements:

• Active student in Systems Engineering, Statistics, Mathematics, Industrial Engineering, or related field.
• Logical thinking and troubleshooting skills.
• Clear verbal and written communication skills.
• B2+ English Level.
• Knowledge and experience with Microsoft Excel, SQL, and regular/glob expressions.
• Knowledge and experience with visualization tools: Tableau, Power BI or Google Looker, etc. (nice to have).
• Experience with Unix/Linux, Hadoop, and Scripting languages such as Python, Bash, JavaScript etc. . (nice to have).

Aptitude:

• Results-oriented and with a mindset to improve data, processes, and procedures.
• Ability to work independently and work effectively in a team environment.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and precision.
• Ability to learn and apply new technologies promptly.
• Interpersonal skills (leadership, teamwork, teaching, ability to dialogue, and effective interaction with different profiles of the organization)
• Creative problem solving and research skills with the ability to recognize patterns in data.

Impact You'll Make:

Responsibilities:

• Identify, analyze, and troubleshoot possible data flow issues between servers and processing steps.
• Identify, analyze, and interpret trends or patterns across flows and data sets.
• Measure, track and report key performance indicators and quality metrics from large data sets, automated processes, and data processing stages.
• Find and solve data problems, ensuring timely short-term and long-term preventive solutions.
• Develop and improve existing processes to ensure data ingestion through the ETL Platform.
• Work with management and teammates to prioritize business and information needs.
• Locate and define new opportunities for process improvement or process automation.
• Deliver excellent customer support through efficient and accurate handling of tickets/requests and general program inquiries.
• Perform other work-related tasks and responsibilities assigned to you from time to time.
• Participate in new products and features deployment and propose technical solutions that meet business needs.

Requirements:

• Active student in Systems Engineering, Statistics, Mathematics, Industrial Engineering, or related field.
• Logical thinking and troubleshooting skills.
• Clear verbal and written communication skills.
• B2+ English Level.
• Knowledge and experience with Microsoft Excel, SQL, and regular/glob expressions.
• Knowledge and experience with visualization tools: Tableau, Power BI or Google Looker, etc. (nice to have).
• Experience with Unix/Linux, Hadoop, and Scripting languages such as Python, Bash, JavaScript etc. . (nice to have).

Aptitude:

• Results-oriented and with a mindset to improve data, processes, and procedures.
• Ability to work independently and work effectively in a team environment.
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and precision.
• Ability to learn and apply new technologies promptly.
• Interpersonal skills (leadership, teamwork, teaching, ability to dialogue, and effective interaction with different profiles of the organization)
• Creative problem solving and research skills with the ability to recognize patterns in data.

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