Job details

Work Location

Guadalajara, Mexico City, Monterrey


State / Region / Province

Jalisco, Mexico, Nuevo Léon


Country

Mexico


Skills

Technology|Business Intelligence - Visualization|Tableau, Technology|Cloud Platform|AWS Data Analytics, Technology|Cloud Platform|AWS Database, Technology|Database Administration|PostGreSQL, Technology|Machine Learning|Python


Domain

Delivery


Interest Group

Infy Mexico


Company

Infosys Mexico


Requisition ID

141632BR


Job description

Location: Monterrey, CDMX, or Guadalajara (Hybrid – 3 days per week at Infosys Office)

We are seeking a Data Analyst to join one of our Scrum Teams on the Cloud Data Analytics Platform team. Data Analysts on our team gather and interpret data to solve specific problems and uncover key insights that enable better-informed decision-making. They work closely with Data and System Architects and Product Owners to profile data, define transformations of raw data into curated datasets for integrations, statistics, and analytical insights.

Key Responsibilities

  • Use automated tools to extract and gather data from primary and secondary sources.

  • Map and model data, including defining storage structures, relationships, and data appearance.

  • Identify and interpret corrupted or incomplete data; prepare reports to communicate patterns or trends.

  • Develop and maintain AWS data systems to support ingestion pipelines and Lakehouse Architecture.

  • Perform analysis to assess data quality and meaning in test and production environments.

  • Filter data by reviewing reports and performance indicators to identify and correct errors.

  • Collaborate with programmers, engineers, and management to identify process improvements, propose system modifications, and devise data governance strategies.

  • Communicate findings to stakeholders using charts, graphs, and reports.

Required Technical Skills

  • Ability to query databases using SQL.

  • Knowledge of database systems: PostgreSQL, AWS Athena/S3 Parquet format, Redshift.

  • Understanding of data models in normalized form and star schema.

  • Familiarity with Python, Tableau Prep, Tableau, AWS SageMaker (preferred).

  • Understanding of statistics and data science concepts (preferred).

Other Skills

  • Critical Thinking: Logical approach to problem-solving and data-driven decisions.

  • Attention to Detail: Accuracy in analysis and ability to spot anomalies.

  • Communication: Strong written and verbal skills; ability to present findings to technical and non-technical audiences.

  • Problem-Solving: Develop solutions to business challenges using data insights.

  • Teamwork: Collaborate effectively within a Scrum team, sharing progress and ideas.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO
Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.