Data Consultant Senior

at Pacifica Continental
🇧🇷 Brazil - Remote
📊 Data🟣 Senior

Job description

About Us

Pacifica Continental is an international recruitment consultancy that provides different services focused on talents to impact companies’ business all over the world. We provide a young and dynamic environment and by being result-oriented our main goal it’s to delivery outstanding solutions for all of our clients.

Our customized solutions and consultative approach ensure we select the best talent in the market and our operations have reached over 50 countries, including more than 250 cities around the world.

We pride ourselves on working with precision and expertise in a wide range of industries!

Our DNA

Ambition - We are guided by excellence, we push for progress and not perfection.

Connection - We believe that people are the real drive of our company.

Global Mindset - We value diversity and believe that we are enriched by it.

Ownership - We take responsibility for our actions.

At Pacifica, you will have plenty of opportunity to grow and assist in the development of others. We connect well-being and professional development.

Take a Look Into Your Future at Pacifica Continental

As a Data Consultant, you will have a key role in developing our data-driven mindset and supporting diverse business-related strategies as well as help in the data architecture of the company and develop new automations/dashboards to give business scalability to the company.

  • Develop analytical dashboards in Power BI and improve our Microsoft Fabric environment.
  • Develop automations to gain business scalability such as review internal procedures and lookout for procedures that can be automatized with Python, Power automate or any other tool. (Ex. Fabric Notebooks w/ Python, SparkSQL, PySpark…)
  • Extraction, transform and Load routines, develop our OLAP environment and data warehouse. (Fabric Warehouse)
  • Develop Queries and lookout on the OLTP environment.
  • Look for inside company trends and insights to help Management team adding value to the business strategy and growth with analytics dashboards.
  • Create reports to monitor business effectiveness and capture the evolution of the business looking out our internal databases.
  • Contribute to the organizational strategic planning once you shall be a focus point of data-driven information.
  • Lead Sales Calls with offices worldwide providing Commercial inputs and be a focal point for LATAM Operational teams analyzing sales databases.

Requirements:

Soft skills or educational requirements:

  • Bachelor’s degree completed (Technology, Engineering or Business Administration are preferred);
  • Proven 4+ years of experience as a Business Intelligence Analyst or similar role, preferably in a multicultural environment
  • Fluent English is a must have (You will talk every day in english.Therefore, only apply if you are confortable working in English);
  • Advanced Spanish is a plus;
  • Business oriented mindset;
  • Ability to work independently, with ownership of the area and orienting other members of the area;
  • Motivation to work in a multicultural environment;
  • Ability to handle confidential information;
  • Good communication skills;

Hard Skills & Knowledge:

  • Excel and Power BI (Power BI report builder is a plus)
  • Power Query and Data flow gen2
  • SQL Server Management Studio (Oracle or MySQL are also welcomed)
  • Figma
  • Spark (Pyspark or SparkSQL)
  • T-SQL
  • Python
  • DAX
  • M
  • Azure - SQL Relational databases; Azure Virtual Machines; Azure Web Apps; IAM; Entra; Docker
  • Power Apps, Power Automate;  SharePoint; Postman; API Requests; N8N…
  • Microsoft Fabric (Databricks/Similar platforms are welcomed also)
  • CRM: Hubspot, Apollo, JazzHR, Zoho are a plus.

What we offer:

  • Competitive Salary;
  • Meal Voucher and Grocery voucher (VA and VR);
  • Gympass;
  • Health and Dental Insurance - SulAmérica Saúde;
  • Life Insurance;
  • Transportation Voucher;
  • Notebook and mobile – other tools for home office may be provided on demand;
  • Hybrid work model.
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