Senior Data Analyst – Focus on Analytical Products

Sicredi

Senior Data Analyst at Sicredi developing strategic data products and collaborating with technical teams for impactful data solutions.

Posted 5/27/2026full-timePorto Alegre • 🇧🇷 BrazilSeniorWebsite

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SQLPythondata analysisdata manipulationKPI monitoringreport creationdashboard developmentdata qualitydata governancedata architecture

Soft Skills

analytical thinkingstrong writing skillssummarization skillscommunication skillsprioritizationstakeholder managementstrategic visionimpact focusrequirements translationcollaboration

Tools & Technologies

DatabricksPower BIdata product backlogdata pipelinesdata modelsanalytics platformsbusiness intelligence toolsdata visualization toolsproject management toolsdata monitoring tools

Industry Keywords

Financial Marketdata productsbusiness objectivesdata initiativesepicsfeaturessuccess metricsadoptionrecurring usagescalability

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define the strategic vision for data products aligned with business objectives.
Translate strategic needs into clear mid- and long-term roadmaps.
Prioritize data initiatives based on impact, feasibility and business value.
Act as a bridge between business, data, technology and analytics to manage expectations and align priorities across multiple areas.
Communicate value, risks and results clearly, focusing on impact.
Conduct discovery with data users (analysts, data scientists, engineers and business teams).
Identify pain points related to data quality, scalability, reliability and governance.
Maintain and prioritize the data product backlog.
Help the team define epics, features and requirements clearly.
Ensure focus on high-value deliveries.
Translate business needs into technically understandable requirements.
Have a deep understanding of architecture, pipelines, models and technical trade-offs.
Define KPIs and success metrics for the data product, such as:
Adoption
Recurring usage
Quality / reliability

Requirements

What you’ll need

Bachelor's degree preferred in areas such as Systems Analysis, Statistics, Mathematics, Economics, Engineering or related fields.
Analytical thinking.
Strong writing, summarization and communication skills.
Experience with programming languages such as SQL and Python.
Experience with data analysis/manipulation platforms such as Databricks or similar.
Experience in data analysis, monitoring KPIs and developing business studies.
Preferred experience creating reports and dashboards using Power BI or similar tools.
Preferred experience in the Financial Market.

Benefits

Comp & perks

14th and 15th fixed salaries.
Profit-sharing (according to seniority).
Health and dental plans with no co-pay.
Wellbeing programs via Wellhub (formerly Gympass): Nutrition, Psychology, Occupational Health, Massage, running group and local gym.
Meal and food vouchers with flexible allocation between VA/VR cards, no co-pay.
Extended maternity and paternity leave.
Childcare or nanny allowance for children up to 6 years and 11 months.
Support for children with disabilities, no age limit.
Life insurance.
Private pension plan contributions up to 8% of salary.
Training platform – Sicredi Aprende, offering various courses.
40-hour workweek – using a time bank system.
Remote work allowance (except for positions that are 100% on-site).