Data Analyst

Visibly, Inc.
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 98K

Job location

Remote

Tech stack

Agile Methodologies
Business Analytics Applications
Data analysis
Bash
Big Data
Databases
Data Integration
Data Integrity
ETL
Relational Databases
Database Design
R
Python
Linked Data
Shell
Microsoft SQL Server
Oracle Applications
Systems Development Life Cycle
Power BI
Software Engineering
SQL Databases
Tableau
Talend
Scripting (Bash/Python/Go/Ruby)
Data Storage Management
Vba Programming Language
Looker Analytics
Programming Languages

Job description

  • Collect, clean, and analyze large datasets using SQL, R, Python, and other data analysis tools to identify trends, patterns, and anomalies.
  • Develop interactive dashboards and visualizations with Tableau, Power BI, Looker, and other BI platforms to communicate insights effectively across teams.
  • Design and implement ETL (Extract, Transform, Load) processes using Talend, VBA, Bash scripts (Unix shell), and Oracle or Microsoft SQL Server databases to ensure data integrity and accessibility.
  • Collaborate with cross-functional teams in an Agile environment to gather requirements, define project scope, and deliver timely analytics solutions aligned with business goals.
  • Support database design efforts by creating efficient schemas and ensuring optimal performance for data storage and retrieval.
  • Conduct business analysis by translating operational needs into technical specifications for reporting and analytics projects.
  • Participate in the full Software Development Life Cycle (SDLC), from planning through deployment and maintenance of analytical solutions.
  • Utilize Linked Data principles to integrate diverse data sources for comprehensive analysis.
  • Assist in project management activities related to data initiatives, ensuring timely delivery and stakeholder satisfaction.

Requirements

We are seeking a dynamic and detail-oriented Data Analyst to join our innovative team. In this role, you will harness the power of data to drive strategic decision-making, optimize business processes, and uncover actionable insights. Your expertise will enable us to transform complex data sets into clear, compelling stories that support organizational growth and efficiency. This position offers an exciting opportunity to work with cutting-edge tools and methodologies in a fast-paced, collaborative environment committed to continuous improvement., * 3 Years of Proven experience as a Data Analyst or similar role with a strong foundation in data analysis skills and statistical methods.

  • Proficiency in SQL for querying relational databases such as Microsoft SQL Server or Oracle; experience with database design is a plus.
  • Hands-on experience with BI tools including Tableau, Power BI, or Looker for creating dashboards and reports.
  • Familiarity with programming languages such as R and Python for data manipulation, statistical analysis, and automation tasks.
  • Knowledge of ETL tools like Talend or scripting languages such as VBA and Bash for data integration workflows.
  • Understanding of SDLC processes and Agile project management methodologies to facilitate collaborative development cycles.
  • Experience working with Business Analysis techniques to interpret operational needs into technical solutions.
  • Strong analytical skills combined with excellent attention to detail; ability to communicate complex findings clearly to non-technical stakeholders.
  • Knowledge of database design principles, linked data concepts, and analytics best practices enhances your ability to deliver impactful insights. Join us if you're passionate about transforming raw data into strategic assets! We value energetic professionals eager to make a difference through innovative analytics solutions that propel our organization forward.

Benefits & conditions

$82,776.47 - $98,214.67 a year - Full-time

Apply for this position