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Sr.Data Analyst

LPL Financial
Hyderabad, IND
Full-time
Senior · 5+ years experience
Onsite
Discovered Today

Full Job Posting

Job Responsibilities

  • Lead complex data analysis projects from inception to completion, identifying trends, patterns, and anomalies to inform business strategies.
  • Develop, maintain, and automate robust reports and interactive dashboards using tools like AWS Quicksight, Power BI, or similar, to monitor key performance indicators (KPIs) and provide business insights.
  • Collaborate with business stakeholders across departments to understand data requirements, define metrics, and deliver impactful analytical solutions.
  • Design and execute SQL queries to extract, transform, and load (ETL) data from various relational databases and data warehouses for analysis.
  • Perform data validation, data reconciliation and quality assurance to ensure accuracy and integrity of data used in reporting and analysis.
  • Identify opportunities for process improvement and data optimization, recommending and implementing solutions.
  • Mentor junior data analysts, providing guidance on best practices in data analysis, visualization, and reporting.
  • Stay abreast of industry best practices in data analytics, data visualization, and relevant technologies.
  • Communicate complex analytical findings clearly and concisely to both technical and non-technical audiences through presentations and written reports.
  • Job Qualifications
  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Finance, or a related discipline. Master's degree preferred.
  • 5+ years of experience in a data analysis role, preferably within the financial services industry.
  • Expert-level proficiency in SQL for data extraction and manipulation.
  • Strong experience with data visualization tools (e.g., Tableau, Power BI, QlikView) for creating compelling dashboards and reports.
  • Proficiency in statistical analysis and advanced analytical techniques. Experience with statistical software (e.g., R, Python with Pandas/NumPy) is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills with a keen eye for detail.
  • Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
  • Exceptional communication (written and verbal) and interpersonal skills, with the ability to effectively collaborate with diverse teams.
  • Experience with large datasets and data warehousing concepts.
  • Familiarity with financial products, services, and regulatory requirements is highly desirable.
  • Experience with leveraging Copilot or AI based tools is strongly preferred
  • LPL Global Business Services, LLP - PRIVACY POLICY

Qualifications

  • Experience with large datasets and data warehousing concepts.
  • Familiarity with financial products, services, and regulatory requirements is highly desirable.

Preferred Qualifications

  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, Finance, or a related discipline. Master's degree preferred.

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