Mid to Mid+ Data and Reporting Analyst
Colombia
Lean Tech
Lean Solutions Group - Top workforce optimization company. Explore our offshore & nearshore staffing solutions to transform your business operations.Lean Tech is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.
Currently, we are seeking a Business Intelligence and Data Analyst with a strong English level to join our team. Here are the challenges that our next warrior will face and the requirements we look for:
Position Title: Data and Reporting Analyst
Location: Remote
What you will be doing:
- Data Analysis & Insight Generation: Analyze complex data sets to uncover key trends and provide actionable insights. Utilize advanced SQL knowledge to manage large databases, focusing on efficiency in query writing and index tuning.
- Reporting & Dashboard Development: Develop and maintain reports and dashboards to track key performance metrics using Power BI. Propose and design innovative dashboards for real-time operational and strategic decision-making.
- Collaboration & Solution Delivery: Work closely with cross-functional teams to identify data requirements and deliver solutions that enhance the company's data-driven decision-making capabilities. This includes interactions with teams from technology, operations, and management.
- Data Pipeline Automation: Use Python to automate data pipelines, ensuring data quality and governance. Adapt and innovate data extraction and transformation processes, integrating traditional and streaming data sources.
- Continuous Improvement: Continuously seek opportunities to improve data practices and tools. Present new ideas for dashboards and data processes that can enhance business outcomes.
- Educational Background: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Professional Experience: At least 2-4 years of experience in data analysis and reporting. Demonstrated expertise in SQL, including custom logic and stored procedures. Strong experience with ETL processes, covering both traditional and streaming data sources.
- Technical Skills:
- Proficient in Python, with experience automating data pipelines.
- Advanced proficiency in BI tools, preferably Power BI, with openness to utilizing tools like Tableau or Qlik.
- Experience with Azure cloud data warehousing solutions and familiarity with Azure DevOps for collaborative coding.
- Analytical Skills: Exceptional analytical abilities with a focus on detail and accuracy in data handling.
- Communication and Collaboration: Strong communication skills, capable of effectively collaborating with and presenting to diverse teams.
- Agile Knowledge: Familiarity with Agile/Scrum development practices.
- Additional Competencies: Basic knowledge of data quality and governance tools, with a willingness to learn and expand in this area.
Why you will love Lean Tech:
- Join a powerful tech workforce and help us change the world through technology
- Professional development opportunities with international customers
- Collaborative work environment
- Career path and mentorship programs that will lead to new levels.
Join Lean Tech and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Azure Business Intelligence Computer Science Data analysis Data pipelines Data quality Data Warehousing DevOps Engineering ETL Pipelines Power BI Python Qlik Scrum SQL Statistics Streaming Tableau
Perks/benefits: Career development
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