Junior Data BI Analyst

2 Months ago • 1-1 Years • Data Analyst • $55,000 PA - $65,000 PA

Job Summary

Job Description

This remote Junior Data BI Analyst position at Patterned Learning requires 1+ years of experience. Responsibilities include analyzing large datasets to identify trends, developing and maintaining data models, dashboards, and reports, collaborating with cross-functional teams, conducting ad-hoc analysis, and staying updated on industry trends. The ideal candidate will possess strong analytical skills, proficiency in SQL and visualization tools (Tableau, PowerBI, or QlikView), and experience with various database systems. A Bachelor's degree in a relevant field is required.
Must have:
  • Analyze large datasets
  • Develop data models & dashboards
  • Proficient in SQL
  • 1+ years analytic experience
  • Data visualization tools experience
Good to have:
  • Agile framework knowledge
  • Salesforce familiarity
  • Advanced degree/certification
Perks:
  • Competitive salary
  • Comprehensive health insurance
  • Retirement program
  • Paid time off
  • Flexible work schedule
  • Professional development opportunities

Job Details

This is a remote position.

Junior Data BI Analyst  - Remote Job, 1+ Year Experience


Annual Income: $55K - $65K


A valid work permit is necessary in the US

About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.



Are you a talented BI Analyst with a passion for data analysis and a strong background in business intelligence? We are seeking a skilled and motivated individual to join our team as a BI Analyst. As a BI Analyst, you will be responsible for analyzing complex data sets, generating insights, and providing actionable recommendations to drive business growth and efficiency.

Responsibilities:

  • Analyze large datasets to identify trends, patterns, and insights.

  • Develop and maintain data models, dashboards, and reports to support business decision-making.

  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

  • Conduct ad-hoc analysis to answer specific business questions and provide actionable recommendations.

  • Stay up-to-date with industry trends and best practices in data analysis and business intelligence.

Requirements:

  • Bachelor's Degree required with an emphasis in business, economics, math, engineering, or analytics preferred. Advanced degree or certification preferred.

  • 1+ years of experience, with at least 1 year of analytic experience.

  • Proficiency in interacting with various database and file storage systems (Examples: Oracle, Hadoop, NoSQL). Understanding of join types.

  • Experience with data manipulation languages, such as SQL, required.

  • Knowledge of statistical concepts and analytic techniques, including descriptive statistics, forecasting, economic modeling, exploratory analysis, and variance analysis required.

  • Ability to perform univariate analytic analytical techniques.

  • Experience using Microsoft Excel, including the use of pivot tables, formulas, macros, VBA, charts/graphs.

  • Experience with visualization tools such as Tableau, PowerBi, or QlikView.

  • Strong analytical, critical, and systems thinking required.

Skills:

  • Good understanding of Agile framework (SCRUM).

  • Familiarity with Salesforce is a plus.

Benefits:

  • Competitive salary based on skills, qualifications, and experience 1.

  • Comprehensive health, dental, and vision insurance plans.

  • Retirement program with lifetime pension benefits.

  • Paid time off and holidays.

  • Flexible work schedule and remote work options.

  • Opportunities for professional development and growth.

  • Collaborative and inclusive work environment.


Why Patterned Learning LLC?


Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.


The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.



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