Data Analyst - Data Modeling & Visualization

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.