OneMagnify - Data Analyst - DAX Power BI

OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics.

The Companys core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors.

OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion.

OneMagnifys commitment to employee growth and development extends far beyond typical approaches.

We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best.

OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India.

About You :

- You have a passion for data, a keen attention to detail and an analytical mindset.

- You are a problem-solver that enjoys working collaboratively to use data insight to drive business solutions.

What youll do :

Works under mentorship of Senior Data Analyst and/or Ford supervisors to support client objectives and project goals by developing data-driven and insightful reports, visualizations, dashboards, and communicating results within project lifecycle guidelines, using appropriate programming languages & visualization tools.

What youll need :

Role :

The analytics team at OneMagnify is looking for a proactive, analytical leader to drive business intelligence and data science initiatives across the global team.

This individual will help to identify clients objectives and execute project goals by analyzing data and communicating results throughout project lifecycle, and use programming languages to provide analytical support to client objectives in a team environment

Key Responsibilities :

- Extract, clean, transform and process messy, data from various sources to prepare it for analysis and modeling.

- Translate complex business questions into well-defined data science problem and analytical tasks

- Perform rigorous Exploratory Data Analysis (EDA) to understand data characteristics, identify patterns, trends, uncover hidden insights, potential data quality issues, and formulate hypotheses

- Should be able to synthesize large datasets into actionable insights using SQL, Python, DAX, PowerQuery, and statistical tools

- Develop and maintain data models, interactive dashboards, and reports using BI tool to support real-time decision-making

- Ensure visualizations effectively communicate key performance indicators (KPIs), trends, and insights, enabling users to explore data and make data-driven decisions independently

- Apply appropriate statistical methods, data mining techniques, and machine learning algorithms (where applicable) to address specific business needs (e. prediction, classification, clustering, forecasting)

- Manage and lead multiple data projects independently with best practices, ensuring timely delivery of high-impact analytics and ad hoc reporting

- Use Large language models (LLMs) to get insights and generate summaries from data by analyzing text and identifying patterns in data

- Iterate on data models and approaches based on performance feedback and evolving business requirements

- Stay up to date with the latest advancements in business intelligence, data science, machine learning, AI, and relevant technologies

- Work with data scientists and analytics engineers in the team to integrate AI solutions into existing systems and workflows

- Help to reduce manual effort, improve efficiency, enhance data quality, and ensure the reliable and timely delivery of data for reports and dashboards through automation

- Collaborate cross-functionally with business team and internal team

Required Skills and Experience :

- Min 5+ years of experience in Business Intelligence or Advanced Data Analytics

- Bachelors or Masters degree in Data Science, Statistics, Business Analytics, or a related field.

- Advanced proficiency in SQL, preferably in Google Big Query to query, clean, manipulate, arrange, and present data

- Hands-on experience with BI tools, preferably MS Power BI

- Strong experience in DAX and Power Query

- Experience with Python for Advanced Analytics and Large language models (LLMs)

- Familiarity with cloud computing platforms, preferably Google Cloud

Benefits :

- We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.