Senior Data Strategy & Analytics Analyst

Location: San Jose, Costa Rica; hybrid office/work-from-home schedule.

Company

hirify.global delivers engineered marketing by combining data and technology across paid digital media and data-driven CRM channels, acting as an agency of record, in-house team, or hybrid partner for clients.

What you will do

• Manage digital media, third-party, and client data across multiple client accounts.
• Lead data ingestion, quality assurance, transformation, and validation for complex datasets.
• Design, build, and maintain scalable dashboards and reporting solutions aligned with business needs.
• Identify and resolve data discrepancies, tracking issues, reporting gaps, and data workflow problems.
• Analyze performance trends and contribute structured analyses that support optimization and internal decision-making.
• Collaborate with cross-functional and technical teams, US-based leads, and internal stakeholders to deliver actionable outputs, improve data integrations, and standardize workflows and documentation.

Requirements

• At least 3 years of experience in data analysis or analytics environments.
• Strong analytical and problem-solving skills, including the ability to work through ambiguous or undefined challenges.
• Advanced SQL proficiency and strong Excel or Google Sheets skills.
• Experience working with large datasets and multiple data sources, and building dashboards or reporting solutions.
• Ability to manage multiple priorities and work independently in a fast-paced, team-oriented environment.
• Strong English communication skills at B2+/C1 level.
• High attention to detail and a strong sense of ownership.
• Exposure to AI tools or strong willingness to develop skills in AI-driven solutions and automation.
• Bachelor's degree in Data Analytics, Computer Science, or a related field.

Nice to have

• Experience with Datorama, Looker, Power BI, or other data visualization tools.
• Experience with Tableau.
• Exposure to digital marketing or media analytics.
• Familiarity with statistical concepts, testing methodologies, or performance analysis frameworks.
• Exposure to scripting or automation tools such as Python.
• Interest in technical data topics such as data pipelines and data architecture.
• Experience supporting cross-functional teams with data-driven insights.

Culture & Benefits

• Competitive health and dental benefits.
• Tuition reimbursement, training stipend, ongoing learning opportunities, webinars, books, classes, conferences, and events.
• Hybrid office/work-from-home schedule with office supplies, internet, and phone stipend.
• Work from anywhere for up to four weeks per year.
• Collaborative workplace with team outings, lunches, events, celebrations, volunteering opportunities, and multicultural holidays.
• Peer learning through Kepler University, training programs, subject-matter expert groups, hackathons, side projects, and the Rocket Mentorship Program.

Hiring process

• Submit a resume and cover letter in English.