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Data Analytics Business Intelligence

Location:
Menlo Park, CA
Salary:
150000
Posted:
May 14, 2024

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Resume:

SHRUTHI SRINIVASA

+1-650-***-**** / ad5o3x@r.postjobfree.com

Tableau Profile : https://public.tableau.com/profile/shruthi.s2314#!/

LinkedIn Profile: Shruthi S

SUMMARY

●Proficient in Data Analytics, Data Visualization, Data Analysis, and Business Intelligence with over 9 years of experience.

●Experienced in Dimensional Modelling, Data Mining, Data Warehouse concepts, Excel computation, relational databases, Advanced SQL queries, Git.

●Provided comprehensive solutions for systems utilizing various Data Analytics software such as BigQuery, AWS, Hadoop, Hive, Spark, Snowflake, Tableau, Oracle ERP, and E-Business Applications.

●Experience in creating and managing tables and views in Hive, BigQuery, AWS and Snowflake.

●Possess a strong passion for data, visualization, problem-solving techniques, statistical modelling and predictive analytics, regression analysis using Python and R Programming.

●Excellent at driving results, managing large projects, using scientific rigor as a key for problem solving, anticipating, and resolving bottlenecks, and balancing business needs with technical constraints.

●Effective in managing cross-functional communication to align business needs and technical requirements. Explaining the logic to non-technical stakeholders.

●Adaptable and quick learner, prioritizing task to streamline workflow, delivers impeccable accuracy, capable of working independently in ambiguous environments with minimal guidance.

●Strong oral and written communication skills, with expertise in data visualization and storytelling techniques. Stay updated on analytics best practices.

SKILLS

Data Management

BigQuery, DBT, AWS, Snowflake, Hadoop, Hive SQL, Spark SQL, SQL Server, Tableau Prep, Talend data quality, Apache Kafka

BI Visualization

Tableau Desktop, Tableau Server, Tableau Public, Tableau Reader, Tableau Online, Tableau Bridge.

Programming

SQL, Python scripting (numpy, pandas), TabPy, R, PL/SQL, ETL processes, Software Development Lifecycle.

Operating

Systems

Linux, Windows

Other Tools

JIRA, GitHub, IBM V9.7/10.1/10.5, Oracle 10g/11i, MS Excel, CSV, JSON, XML, Microsoft Azure, Service Now, Google Sheet, Clarity, Salesforce, Confluence, Google Slides, KeyNote, Microsoft Office, MS Share Point, Microsoft Power Point, MS Visio.

EXPERIENCE

Egnyte Sep 22 - Till Date

Role: Senior Data Analyst

Description: Egnyte is a subscription-based SaaS B2B startup which sells collaboration and compliance tools, provides service for enterprises. Product and Finance teams require insights on financial data to enhance retention, revenue, customer engagement metrics. I work closely with the Product team, Finance, Sales and Marketing for getting SaaS metrics to generate business decisions. Additionally, working closely with the customers to understand their business requirements.

●Utilize SQL to query, extract data from structured/unstructured databases, manipulate and transform data to prepare it for analysis, and perform various calculations and aggregations to derive insights, I also leverage SQL for data quality checks and validation.

●Utilizing R to perform data wrangling and preprocessing, and prepare data for statistical analysis. Enables more accurate forecasting, regression and decision-making.

●Collaborated with Finance, Product team, Marketing team, Sales Operations Manager and executives to communicate insights analysis, conducting A/B testing for business decisions.

●Identify KPI metric issues proactively, analyse, derive solutions, and communicate the outcomes to stakeholders effectively.

●Collaborated with team members to ensure the integrity and functionality of various tools and models, and contributing to streamlined workflows.

Xoriant Corporation Mar 22 - Sep 22

Client: Egnyte

Role: Senior Data Analyst

●Conducted end-to-end due diligence: Starting from the database architecture, developing the underlying logics and codes using DBT, and diagnosing data discrepancy.

●Experience working in Cloud based environment such as Google Bigquery, AWS.

●Implementing stringent data validation processes and conducting regular audits to maintain accuracy and reliability in financial reports. Automating Sales and Finance reports to eliminate repetitive tasks.

●Collaborate with the Data Engineering, Data Scientists, and lead data modelling, transformation, and normalization projects. Implementing projects within GitHub environment.

Infosys

Client: F5 Networks (USA) Sep 20 - Mar 22

Client: Cisco Systems (USA) Mar 19 - Sep 20

Role: Senior Data Analyst

●Managed a team to define business needs, develop, implement and test data sources that provided key insights to the Customer Success leadership team.

●Utilized Hadoop, Snowflake SQL and Tableau and create comprehensive analyses of network opportunities, transforming intricate data into accessible visual insights for the Cisco Products.

●Managed two Telemetry reports overseas and mentored them to become successful individual contributors. Reviewed their work and conduct QA activities for their development and ensured quality & accuracy before sharing it with the leadership team. Also, worked as an independent contributor on certain projects.

IBM India Aug 15 - Apr 17

Client: Michelin North America

Role: Tableau Developer

●Experience in crafting clean and efficient SQL code to optimize performance.

●Converting data into actionable insights, showcasing a meticulous focus on precision and a keen eye for detail. Working closely with the Customers for the better performance, and relationship building.

●Analysis of Business requirements & site specifications to create Business Requirement Document (BRD), Data flows & Design Document (Functional and Technical).

IBM India Jul 14 - Aug 15

Client: Michelin (France)

Tableau Developer

●Analysis of certain reports which are producing errors/ inaccurate data and fixing them to produce correct results. Fixed broken existing dashboards for Executives overlook.

●End-to-End ownership of operational, sales, Finance and data aspects of the insights, and played an integral role in strategic decision-making.

EDUCATION

Bachelor of Engineering: Information Science and Engineering (2009 – 2013)



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