Data Analyst
4 weeks ago
Role : Data Analyst
Hiring Office : 3 Location WFO
Job Description :
Roles and Responsibilities :
- Familiarity with leading data sourcing platforms and tools.
- Ability to analyze data sets and extract valuable insights.
- Meticulous attention to detail and unwavering commitment to high standards.
- Proactive self-starter with the capability to work autonomously as well as collaboratively.
- Removing corrupted data and fixing coding errors and related problems
- Developing and maintaining databases, data systems
- Reorganizing data in a readable format
- Performing analysis to assess quality and meaning of data
- Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.
- Cover a broad range of analytics, forecasting, business metrics, reporting, and predictive modeling.
- Perform deep-dive analysis to unpack insights & recommend solutions to problems the business is facing
- Recommend ways to present and share our data with stakeholders so that it s easy to digest
- Make recommendations on how to better utilize our data and share it within their organization
- Driving weekly, monthly, and quarterly reviews for all stakeholders within Blink - to articulate what happened and why, and what we re doing going forward to accelerate growth
- Drive ad-hoc analytics to unlock insights into critical business and client questions
- Develop and help deliver partner business reviews
- Partner with teams across Blink to ensure key growth initiatives are implemented successfully
- Know your data end-end and exhibit exemplary ownership in creating and maintaining data artifacts.
Skills :
- Data Cleaning and Preprocessing : Clean and prepare the data for analysis by addressing missing values, outliers, and inconsistencies.
- Data Analysis : Apply statistical and analytical techniques to uncover insights, trends, and patterns within the data.
- Data Visualization : Create charts, graphs, and other visual representations of data to communicate findings effectively.
- Reporting : Generate reports and summaries of data analysis, often using tools like Excel, Tableau, or Power BI.
- Data Modeling : Build and maintain predictive and descriptive models to support decision-making.
- Data Interpretation : Translate data insights into actionable recommendations for stakeholders.
- Database Management : Develop and maintain databases to store and manage data efficiently.
- Data Quality Assurance : Ensure the accuracy and reliability of data by implementing data quality checks and validation processes.
Qualifications :
- Adept at queries, writing reports, and making presentations
- Problem-solving skills.
- Accuracy and attention to detail.
- Knowledge of SQL and any programming language.
- Good to have knowledge of Cloud Infrastructure.
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