Data

Data Reporting Analyst

Looking to hire your next Data Reporting Analyst? Here’s a full job description template to use as a guide.

About Vintti

Vintti specializes in providing US companies with a financial edge through smart staffing solutions. We bridge the gap between American businesses and Latin American talent, offering access to a vast pool of skilled professionals at competitive rates. This approach enables our clients to scale their operations more efficiently, reduce hiring costs, and invest in growth opportunities without compromising on quality.

Description

A Data Reporting Analyst plays a crucial role in transforming complex data into actionable insights for businesses. This professional is responsible for collecting, analyzing, and interpreting large datasets using various statistical tools and software. By creating comprehensive reports and visualizations, they help organizations make informed decisions, track performance, and identify trends and anomalies. The Data Reporting Analyst must have strong analytical skills, attention to detail, and the ability to communicate findings effectively to both technical and non-technical stakeholders, ensuring data-driven strategies align with business objectives.

Requirements

- Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field
- Proven experience as a Data Reporting Analyst or similar role
- Proficiency in SQL and experience with other programming languages such as Python, R, or SAS
- Strong knowledge of data visualization tools such as Power BI, Tableau, or similar
- Excellent analytical and problem-solving skills
- Strong attention to detail and accuracy in data reporting and analysis
- Experience with data warehousing and ETL (Extract, Transform, Load) processes
- Familiarity with data governance and data quality principles
- Ability to translate complex data findings into actionable recommendations
- Excellent communication and presentation skills
- Strong organizational and time-management skills
- Ability to work independently and as part of a team
- Familiarity with business intelligence (BI) tools and software
- Understanding of database management systems and data modeling
- Experience with statistical analysis and data mining techniques
- High proficiency in Microsoft Excel and other productivity tools
- Experience in working with large datasets and cloud-based data platforms
- Ability to manage multiple projects and priorities simultaneously
- Strong understanding of business operations and key performance metrics
- Continuous learning mindset to stay updated with industry trends and best practices

Responsabilities

- Collect, clean, and validate data from various sources.
- Develop and generate standard and ad-hoc reports and dashboards.
- Analyze data trends to identify insights and opportunities.
- Collaborate with cross-functional teams to understand reporting needs.
- Maintain and update reporting tools, databases, and systems.
- Troubleshoot and resolve data discrepancies and issues.
- Document reporting processes, methodologies, and data definitions.
- Present data findings to stakeholders with visualizations.
- Monitor and track key performance indicators (KPIs).
- Write SQL queries or use other programming languages for data manipulation.
- Conduct data audits and quality checks.
- Participate in meetings to provide updates on reporting activities.
- Train and support end-users on reporting tools and data interpretation.
- Stay up-to-date with industry best practices and tools.
- Provide recommendations based on data analysis to drive initiatives.

Ideal Candidate

The ideal candidate for the Data Reporting Analyst role is a highly analytical and detail-oriented individual with substantial experience in data reporting and analysis. They hold a Bachelor’s degree in Data Science, Statistics, Computer Science, Information Systems, or a related field and possess a proven track record as a Data Reporting Analyst or in a similar capacity. Proficiency in SQL and programming languages such as Python, R, or SAS, along with strong expertise in data visualization tools like Power BI or Tableau, is essential. This candidate excels at developing both standard and ad-hoc reports and deriving actionable insights from data trends. They demonstrate exceptional problem-solving abilities, attention to detail, and accuracy in data handling, which are critical for maintaining data integrity and quality. Their experience with data warehousing, ETL processes, and familiarity with data governance principles, paired with a strong understanding of database management systems and data modeling, sets them apart. Moreover, they possess strong communication and presentation skills, enabling them to effectively collaborate with cross-functional teams and present data findings to stakeholders in a clear and compelling manner. Adaptable, self-motivated, and proactive, they can manage multiple projects simultaneously in fast-paced environments while continuously seeking innovative solutions and staying updated with industry best practices. A strong work ethic, organizational prowess, and a continuous learning mindset drive their commitment to delivering high-quality, data-driven insights that support strategic decision-making. Their passion for data and commitment to stakeholder satisfaction makes them a valuable asset to any organization.

On a typical day, you will...

- Collect, clean, and validate data from various sources to ensure accuracy and completeness.
- Develop and generate standard and ad-hoc reports and dashboards to support business decision-making.
- Analyze data trends and patterns to identify insights and opportunities for improvement.
- Collaborate with cross-functional teams to understand reporting needs and requirements.
- Maintain and update reporting tools, databases, and systems.
- Troubleshoot and resolve data discrepancies and issues in a timely manner.
- Document reporting processes, methodologies, and data definitions for transparency and consistency.
- Present data findings and insights to stakeholders through clear and compelling visualizations.
- Monitor and track key performance indicators (KPIs) to assess business performance.
- Write SQL queries or use other programming languages to extract and manipulate data.
- Conduct data audits and quality checks to ensure data integrity.
- Participate in meetings to provide updates on data reporting and analysis activities.
- Train and support end-users on how to use reporting tools and interpret data reports.
- Stay up-to-date with industry best practices and tools for data reporting and analysis.
- Provide recommendations based on data analysis to drive strategic initiatives.

What we are looking for

- Analytical thinker with strong problem-solving abilities
- Detail-oriented and methodical in data handling
- Strong communication and presentation skills
- Ability to work collaboratively with cross-functional teams
- Proactive and self-motivated with a strong work ethic
- Adaptable to changing priorities and fast-paced environments
- Strong organizational and time-management skills
- Ability to manage multiple projects simultaneously
- Strong technical aptitude and quick learner of new tools and technologies
- Data-driven mindset with a focus on continuous improvement
- High level of integrity and commitment to data quality
- Strong decision-making skills based on data analysis
- Ability to translate complex data into actionable insights
- Innovative thinker with a passion for data and analytics
- Customer-focused with a drive to meet stakeholder needs

What you can expect (benefits)

- Competitive salary range
- Comprehensive health insurance (medical, dental, vision)
- Retirement savings plan with company match
- Paid time off (PTO) and holidays
- Flexible work schedule
- Remote work opportunities
- Professional development and training programs
- Tuition reimbursement
- Employee wellness programs
- Life and disability insurance
- Performance bonuses and incentives
- Employee assistance programs (EAP)
- Access to company-sponsored events and team-building activities
- Opportunities for career advancement and growth
- Collaborative and inclusive work environment
- Access to cutting-edge tools and technologies
- Mentorship and coaching from experienced professionals
- Transportation and commuter benefits
- Health and fitness reimbursement programs

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