Practice Area Lead Advanced Analytics

at  BIPROCSI

ABOUT US

BIPROCSI is a data consultancy focused on delivering impactful, data-driven solutions for clients across industries. We’re growing quickly and are looking for a technical leader to play an active role in delivering high-quality projects and guiding our technical teams.

REQUIREMENTS / EXPERIENCE NEEDED

• 8+ years of experience in data science, analytics, or related field, with 3+ years in a leadership role
• Proven track record in delivering high-quality data solutions across multiple domains (BI, Advanced Analytics, AI, GenAI)
• Advanced technical expertise in data science methodologies, analytics, and associated tools (e.g., Python, R, SQL, Tableau, Power BI)
• Experience overseeing and actively contributing to technical deliverables
• Experience in data warehousing and modelling
• Experience with transformation tools (e.g DBT, Keboola etc)
• Strong leadership and mentoring skills, with a focus on developing technical talent
• Proficiency in integrating and adopting new data tools and technologies
• Excellent problem-solving abilities and proactive approach to risk mitigation
• Strong stakeholder management and communication skills
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field; advanced certifications are an advantage

ROLE OVERVIEW

As a Practice Area Lead in Data Science & Analytics, you’ll work hands-on with technical teams across multiple projects. You’ll provide advanced problem-solving expertise, guide the adoption of innovative data techniques, and ensure the quality of our technical deliverables. This role is ideal for someone who thrives in a technical environment, is passionate about data, and enjoys leading by example.

KEY RESPONSIBILITIES

• Lead technical direction across projects in BI, Reporting & Viz, Advanced Analytics, ensuring project outcomes meet high-quality standards.
• Actively solve complex technical challenges and provide direct support to project teams, employing advanced problem-solving methods.
• Serve as a go-to expert in multiple data science and analytics areas, influencing technical choices and ensuring optimal solutions.
• Guide the adoption and integration of new tools and technologies within projects, enhancing the efficiency and impact of our solutions.
• Contribute to building standard methodologies and reusable templates, shaping the technical IP library for future projects.
• Work closely with cross-functional teams, providing technical support, mentoring, and hands-on guidance to junior and senior engineers.
• Proactively identify and address technical risks within projects, minimizing potential setbacks and optimising project delivery.
• Shaping our offering as a company around Data Science, Analytics and Advanced Analytics to enable up/cross sell opportunities and expansion within the market.