Analyst, Business Intelligence (Hybrid)

New York City

Broadridge

Broadridge, a global Fintech leader helping clients capitalize on what’s next with communications, technology, data and intelligence solutions.

View company page

At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.

The Analyst, Business Intelligence is responsible for collecting, analyzing, and interpreting large sets of data to help Broadridge Leaders in the OOP and GSMS groups make informed decisions. They will use statistical techniques, machine learning algorithms, and programming skills to extract insights from data and present their findings to key stakeholders. The Analyst, Business Intelligence will work to develop and implement data-driven solutions to solve complex business problems and improve processes.

We are made up of high performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid, which means you’ll be assigned to a Broadridge office and given the flexibility to work from home.

Responsibilities:

  • Assist in Lead the collection, cleaning, and analysis of data from disparate sources to create a comprehensive analysis.

  • Create and present proposals and results in an intuitive, data-backed manner, along with actionable insights and recommendations to drive business decisions.

  • Communicate results to diverse audiences through effective writing and data visualizations.

  • Support the development and implementation of machine learning models and algorithms to extract insights and address business challenges.

  • Collaborate with cross-functional teams to identify opportunities for leveraging data-driven approaches to optimize business processes and decision-making.

  • Participate in the design, implementation, and maintenance of data pipelines and infrastructure to ensure efficient data processing and analysis.

  • Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets and evaluate data quality.

  • Proactively stays up-to-date with the latest advancements in data science and technology.

 

Requirements:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.

  • Required Expertise with Alteryx for data manipulation and Tableau and PowerBI for data visualization.

  • Preferred Knowledge in programming languages such as Python or R, with a focus on data manipulation and analysis.

  • Basic understanding of machine learning concepts and algorithms, with a willingness to learn and apply new techniques.

  • Solid grasp of statistical methods and techniques for data analysis.

  • Strong problem-solving skills and attention to detail, with a passion for learning and professional growth.

  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Salary and Benefits:

  • Salary Range: 90,000 – 105,000 depending on experience. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

  • Annual Bonus: 7.5%

  • Benefits: Medical, dental, life and vision insurance. 401k w/ match, parental leave, and more. Medical insurance starts immediately upon hire.

#LI-MJ1


Broadridge associates helped us envision our Connected Workplace - a work model that allows associates around the globe, dependent upon their role responsibilities, to take advantage of the benefits of both on-site and off-site work to support our clients, one another, and the communities where we live and work. Our Connected Workplace is grounded in the concept of FACS: Flexible, Accountable, Connected, and Supported, which is our commitment to our associates. FACS supports our strong culture and allows us to achieve business goals while supporting meaningful work-life integration for our associates.

We are dedicated to fostering a diverse, equitable, and inclusive environment and committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates can only do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates diversity in all its dimensions.

Disability Assistance

We recognize that ensuring our long-term success means creating an environment where everyone is welcome, where everyone's strengths are valued, and where everyone can perform at their best. Broadridge provides equal employment opportunities to all associates and applicants for employment without regard to race, color, religion, sex (including sexual orientation, gender identity or expression, and pregnancy), marital status, national origin, ethnic origin, age, disability, genetic information, military or veteran status, and other protected characteristics protected by applicable federal, state, or local laws. US applicants: Click here to view the "EEO is the Law" poster.

If you need assistance or would like to request reasonable accommodations during the application and/or hiring process, please contact us at 888-237-7769 or by sending an email to BRcareers@broadridge.com.

Apply now Apply later
  • Share this job via
  • or

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Business Intelligence Computer Science Data analysis Data pipelines Data quality Data visualization EDA Machine Learning Mathematics ML models OOP Pipelines Power BI Python R Statistics Tableau

Perks/benefits: 401(k) matching Career development Health care Insurance Medical leave Parental leave Salary bonus Startup environment

Region: North America
Country: United States
Job stats:  19  10  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.