**About us**:
Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger.
We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients.
Our founders and team members have industry experience and have held senior positions in a wide variety of companies - from emerging startups to large Fortune 50 firms - and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability.
**The role**:
As a Senior Data Analyst, you will play a critical role in delivering actionable insights and driving strategic decisions across the organization.
With a focus on financial data and business intelligence, you will leverage advanced analytics techniques to support key business objectives, optimize processes, and uncover trends that shape future initiatives.
**Responsibilities**:
- Lead the design, development, and implementation of data analysis projects, ensuring the delivery of high-quality, actionable insights.
- Own and manage key performance indicators (KPIs), ensuring alignment with business objectives and driving actionable insights.
Lead regular root-cause analyses to identify underlying issues and implement strategic improvements.
- Develop, maintain, and optimize data models and ETL processes to support analytical needs.
- Advanced statistical analysis, predictive modeling, and machine learning techniques are used to analyze complex datasets and identify trends, patterns, and insights.
- Create and maintain comprehensive dashboards, reports, and visualizations using tools like Tableau, Power BI, or Looker.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for data solutions.
- Oversee data quality and integrity, implementing best data governance and management practices.
- Provide technical leadership and mentorship to junior analysts, fostering a culture of continuous learning and improvement.
- Participate in sprint-related meetings such as standups, grooming, retrospectives, and roadmap replenishment.
- Advocate for flexible, domain-driven solutions that balance expediency with long-term flexibility.
- Conduct code reviews, ensure best practices are followed, and continuously improve the data analysis processes and methodologies.
- Stay updated with the latest industry trends, technologies, and best practices in data analysis and business intelligence.
**Qualifications**:
- 5+ years of proven experience in data analysis, with a strong focus on financial data and business intelligence in a professional services environment.
- 3+ years of experience leading data analysis projects and teams, demonstrating strong leadership and mentoring skills.
- Proficiency in SQL, Python, R, or other data analysis and scripting languages.
- Extensive experience with data visualization tools such as Tableau, Power BI, or Looker.
- Expertise in data modeling, data warehousing, and ETL processes.
- In-depth knowledge of statistical analysis, significance testing, predictive modeling, and machine learning techniques.
- Strong skills in business requirements analysis, technical design, and implementation of data-driven solutions.
- Excellent business analytics skills, capable of understanding and translating business processes into data requirements.
- Deep understanding of core KPIs within a tech company and the levers/tactics that impact such
metrics.
- Outstanding communication and interpersonal skills, with the ability to collaborate effectively in a cross-functional team environment.
- Bachelor's degree in Data Science, Statistics, Computer Science, Finance, Business Administration, or a related field is preferred.
- Experience working in agile / kanban teams, participating in sprints, continuous delivery, code reviews, and other aspects of the modern software delivery lifecycle (SDLC).
**Essential Knowledge, skills and abilities**:
Data Analysis, Business Metrics, SQL, Tableau, Python, R, Data Modeling, ETL, Data Warehousing, A/B Testing, Statistical Analysis, Predictive Modeling, Machine Learning, Data Visualization, Business Intelligence, Agile, Kanban.
**What we offer**:
- Flexible Work Hours
- Competitive Salaries
- Professional Development Opportunities