[Job 14419 - CoH] Data Analyst SR

Brazil

We partner with the world’s most valuable brands to build digital solutions that transform businesses. As a digital native, we bring a 29-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience, and drive operational efficiency.
General DescriptionA Data Analyst is responsible for requirements gathering for data migration. It plays a pivotal role in ensuring the successful transfer of data from one system or environment to another while maintaining data integrity, quality, and accessibility. Their primary focus lies in understanding the specific needs of stakeholders, identifying data requirements, and translating them into actionable plans for migration.
Responsibilities- Stakeholder engagement: engage with stakeholders across various departments or teams to understand their data needs, business processes, and objectives related to the migration. This involves conducting interviews, workshops, and meetings to gather requirements, solicit feedback, and address concerns.- Requirements elicitation: systematically gathering and documenting data requirements by analyzing existing data structures, formats, and quality standards.- Data profiling and analysis: profiling source data to assess its quality, completeness, and consistency. Data Analysts identify data anomalies, duplicates, and inconsistencies that may impact the migration process and work with data stewards or subject matter experts to resolve issues and improve data quality.- Data mapping and transformation: mapping source data elements to target data structures and defining transformation rules to ensure data compatibility and consistency between systems.- Documentation and communication: documenting migration requirements, specifications, and procedures in comprehensive documentation to serve as a reference for stakeholders, technical teams, and project managers.
Requirements:- Solid of experience in similar initiatives- Experience with SQL- Differentiated soft skills for communication and stakeholder engagement- Advanced English for business communication
Nice-to-haves:- Snowflake- Microsoft Azure
Our benefits:- Health plan and dental plan;- Meal allowances;- Childcare assistance;- Extended parental leave;- Gympass- Annual profit-sharing distribution;- Life insurance;- Partnership with an online mental health platform;- CI&T University;- Discount Club;- Support Program: legal; financial; physiotherapy; psychological guidance; nutritionist and more;- Pregnancy course and responsible parenthood;- Partnership with online course platforms- Platform for language learning;- And many others.
#LI-TP2#MidSeniorCI&T is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas.Before applying for our opportunities take a look at Conflict of Interest Policy on website.
We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies.
Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Azure CX Data quality Engineering Research Snowflake SQL

Perks/benefits: Career development Fitness / gym Health care Parental leave

Region: South America
Country: Brazil
Job stats:  3  0  0
Category: Analyst Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.