Remote Data Analyst
Remote Los Angeles Part-time Mid-level Data Analysis & BI
At a glance
Mid-level Data Analysis & BI role at Online River. Remote, United States · part-time.
Pay not stated Data Analyst salary
RoleData Analysis & BI
SeniorityMid-level
LocationLos Angeles
WorkplaceRemote
EmploymentPart-time
PostedSep 29, 2024 · 2y ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Collect and clean data from multiple sources, checking that records are accurate and intact
- Use statistical analysis to find patterns, trends, and outliers in datasets
- Build reports and visualizations in Excel, Power BI, or Tableau to share findings with stakeholders
- Track key performance measures and provide regular updates on business results
- Maintain organized, secure databases and use forecasting or regression to estimate future trends
What you bring
- A degree in data science, statistics, computer science, or a related area
- Hands-on ability with analysis tools such as Excel, SQL, Python, or R
- Experience creating data visualizations with Tableau or Power BI
- You can explain complex findings clearly to people without a technical background
Who this fits
This part-time remote role suits a mid-level analyst who can work independently and handle several projects. You’ll also collaborate with IT, product teams, and other departments to turn findings into practical recommendations.
From the employer
We are seeking a highly motivated Data Analyst to join our team. As a Data Analyst, you will play a crucial role in analyzing data and providing insights to support data-driven decision-making. You will work closely with various teams to interpret data, identify trends, and assist in making strategic recommendations that align with our business objectives.
- Data Collection: Gather and clean large datasets from multiple sources, ensuring data accuracy and integrity.
- Data Analysis: Perform thorough data analysis using statistical methods to identify trends, patterns, and outliers.
- Reporting: Create clear, actionable reports and visualizations using tools like Excel, Power BI, or Tableau to present data insights to stakeholders.
- Business Insights: Collaborate with cross-functional teams to translate data findings into actionable business insights and recommendations.
- Performance Monitoring: Track key performance metrics and provide regular updates on business performance.
- Data Management: Maintain and update databases, ensuring data security and organization.
- Predictive Analysis: Use advanced analytical techniques such as regression, forecasting, and machine learning to predict future trends and behaviors.
- Problem-Solving: Identify data-related challenges and propose innovative solutions.
- Collaboration: Work with IT, product teams, and other departments to develop and implement data-driven solutions.
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
- Proficiency in data analysis tools such as Excel, SQL, Python, or R.
- Experience with data visualization tools like Tableau or Power BI.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills, with the ability to explain complex data insights to non-technical stakeholders.
- Ability to work independently and manage multiple projects in a fast-paced environment.