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Senior Data Analyst – Digital Channels, Customer Support and Conversational Interfaces
SicrediAnalista de Dados SR responsible for enhancing user experiences through technology and data in digital channels. Support business teams in strategic examinations, product development, and data pipeline efficiency.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop and support business teams in conducting studies/analyses: diagnostics and strategic studies; measurement of results; identification of opportunities to leverage the business; actionable insights to aid decision-making; analysis of trends and patterns;
- Monitor the product development process, from conception through tracking production results (Upstream and Downstream);
- Build data foundations: create tables and expressions in SQL and/or Python;
- Report development: construct dashboards with the organization’s key performance indicators (KPIs) and develop new indicators and business views;
- Support the definition of data pipelines together with data engineers, aiming for process efficiency and sustainable data solutions in the long term;
- Interact and communicate with the different roles in the data pipeline (engineers, other analysts, data scientists and business analysts) to promote collaboration, team cohesion and synergy;
- Maintain continuous technical and business development.
Requirements
What you’ll need- Strong experience with programming languages such as SQL and Python;
- Storytelling skills and proficiency with data visualization tools like Power BI for dashboard creation;
- Essential: knowledge and ability to develop exploratory studies and analyses;
- Building queries for relational and non-relational databases;
- Data modeling and performance optimization;
- Solid experience with the Databricks platform (or equivalent Lake House environment);
- Strategic, systemic and analytical thinking to identify data-driven improvement opportunities;
- Communication skills;
- Resilience and adaptability to face complex business challenges;
- Good practices in data analytics, data engineering and data science;
- Data governance and LGPD (Brazilian General Data Protection Law).
- PREFERRED:
- - Master’s or PhD in areas intensive in quantitative analysis of large datasets.
Benefits
Comp & perks- 14th and 15th fixed salary payments;
- Profit-sharing (according to seniority);
- Health benefits: Medical and Dental plans with no co-payment, Gympass, life insurance, health and wellness programs (Nutrition, Psychology, Occupational Health, Massage, running groups and local gym);
- Food Allowance and Meal Voucher – with flexible percentage allocation across VA/VR cards, no co-payment;
- 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;
- Private pension plan up to 6% of salary;
- Training platform – Sicredi Aprende, offering various courses;
- 40-hour workweek – using a time bank system;
- Hybrid work model.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Data AnalysisData ModelingPerformance OptimizationBuilding Queries for DatabasesExploratory Studies Development
Soft Skills
Storytelling SkillsCommunication SkillsResilienceAdaptabilityTeam Collaboration
Certifications
Master’s or PhD in Quantitative Analysis