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Data Analyst - Data Modeling & Visualization

Data Analyst - Data Modeling & Visualization

AricentTrivandrum
30+ days ago
Job description

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.

    • ref : hirist.tech)