Analytics Lead: Data Pipelines & Insights Leader

Danescor Limited; Colombia; On-site; COP 221,934,529 - 295,912,705; Full time

Job summary

A leading investment banking firm in Colombia seeks a Data Analytics Lead to oversee analytics solutions and drive decision-making. This role requires a minimum of 3 years in data-focused roles, including 2 in leadership, and a strong proficiency in Python, SQL, and Azure automation tools. Responsibilities include designing automated data pipelines, mentoring analysts, and collaborating with teams to align data initiatives with the company's growth strategy. Join a fast-growing company in a dynamic market environment.

Qualifications

• 3+ years in data-focused roles, minimum 2 years in leadership or senior analyst position.
• Experience in analytics, automation, or data platform development.
• Strong understanding of Big O notation and algorithm efficiency.

Responsibilities

• Lead the design and deployment of scalable automated data pipelines.
• Oversee extraction, transformation, and enrichment processes for M&A intelligence.
• Drive adoption of best practices in Git, Docker, CI/CD.
• Collaborate with leadership to align data initiatives with company strategy.
• Mentor junior and mid-level analysts to elevate team performance.
• Build interactive dashboards and reporting tools.
• Implement robust, sustainable infrastructure.
• Partner with teams to integrate data-driven insights.

Skills

Python

SQL

Azure automation tools (Power Apps, Power Automate)

APIs

Data warehousing

BI tools

CI/CD in analytics environments

Job description

Summary:

Danescor is a leader in the fast-developing market of Next Generation Internet Investment Banking (IIB), operating across the US and Europe, and providing investment banking services to mid-market corporates seeking to acquire, sell, or raise debt or equity finance. Since inception, Danescor has achieved a CAGR in excess of 120% and has established itself as the “Go To” partner in many sectors within the technology and communications industries. Through its growing reputation and market presence, Danescor has built strong trading relationships with many of the leading industry consolidators and PE firms active in its core markets.

Role Description:

As the Data Analytics Lead, you will play a strategic leadership role in Danescor’s Data Science function, overseeing the design, implementation, and optimization of analytics solutions that drive decision-making and operational intelligence. You will lead a team of analysts and collaborate closely with business stakeholders, data engineers, and senior management to develop scalable, high-impact data initiatives aligned with the company's growth and automation strategy. You will be responsible for shaping the analytics roadmap, ensuring the robustness of data pipelines, and advancing data platform capabilities. Your leadership will enable faster insights, improved data governance, and a more resilient analytics infrastructure. This role requires a blend of technical expertise, business acumen, and the ability to influence and guide both technical and non-technical teams.

You will be responsible for shaping the analytics roadmap, ensuring the robustness of data pipelines, and advancing data platform capabilities. Your leadership will enable faster insights, improved data governance, and a more resilient analytics infrastructure. This role requires a blend of technical expertise, business acumen, and the ability to influence and guide both technical and non-technical teams.

Required Candidate Profile:

• Skills: Strong proficiency in Python, SQL, Azure automation tools (Power Apps, Power Automate), and APIs. Familiarity with data warehousing, BI tools, and CI/CD in analytics environments is a plus.
  
• Experience: 3+ years in data-focused roles with at least 2 years in a leadership or senior analyst position. Background in analytics, automation, or data platform development, ideally within finance, M&A, or high-growth environments. Experience managing cloud environments and containerised applications. Strong understanding of Big O notation and algorithm efficiency.
  
• Leadership Traits: Strategic thinker, proactive problem-solver, effective communicator, and systems-oriented leader. Comfortable translating business needs into data solutions and aligning teams around a shared vision.

Responsibilities:

• Lead the design and deployment of scalable automated data pipelines.
• Oversee extraction, transformation, and enrichment processes for M&A intelligence.
• Drive adoption of best practices in Git, Docker, CI/CD, and asynchronous processing.
• Collaborate with leadership to align data initiatives with company strategy.
• Mentor junior and mid-level analysts to elevate team performance.
• Build interactive dashboards and reporting tools for internal and client-facing use.
• Eliminate fragile tools and one-off data solutions by implementing robust, sustainable, production-grade infrastructure.
• Partner with engineering, M&A, finance, and commercial teams to integrate data-driven insights into core business operations.

Disclaimer

Please submit cover letters and resumes in English