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EY Advisor - Technology Consulting Data Analytics 
United States, New Jersey 
783836903

07.07.2024

IT Advisor, Technology Consulting - Data & Analytics (Big Data) (Manager) (Multiple Positions) (1509853), Ernst & Young U.S. LLP, Hoboken, NJ.

Assist client engagement teams delivering professional services and help manage business development activities by developing and applying analytics to solve business problems. Design, build and maintain scalable and robust solutions that unify, enrich and analyse data from multiple sources. Design, architect, and develop solutions leveraging big data technology (Open Source, AWS, or Microsoft) to ingest, process and analyze large, disparate data sets to exceed business requirements. Provide clients with a unique business perspective on how Big Data analytics can transform and improve their entire organization. Unify, enrich, and analyze customer data to derive insights and opportunities. Leverage in-house data platforms as needed, and recommend and build new data platforms or solutions as required to exceed business requirements. Apply a data driven approach (KPIs) in tying technology solutions to specific business outcomes.

Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.

MINIMUM REQUIREMENTS:

Bachelor's degree in Mathematics, Statistics, Information Systems, Computer Science, Engineering, or a related field, and 5 years of progressive, post-bachelor’s related work experience; OR a Master’s degree in Mathematics, Statistics, Information Systems, Computer Science, Engineering, or a related field, and 4 years of related work experience.

Must have 4 years of industry and/or consulting experience in Analytics.

Must have 4 years of experience with Big Data technologies in one or more of the following ecosystems:
- Open Source (including Hadoop, Spark, NoSQL, Streaming, Atlas, Sqoop, HIVE, Cassandra, Mongo, and/or Kafka);
- Microsoft (including Azure, HDInsight, Azure DocumentDB, and/or SQL Server); or
- AWS (including AWS, EMR, and/or Redshift)

Must have 3 years of experience providing advisory services with a strategic focus in helping clients achieve transformational value through the use of data and/or analytics solutions.

Must have 3 years of experience coding in Java, C#, C++, Scala, Python, R, and/or SQL.

Must have 3 years of experience organizing, aggregating, querying, and analyzing large data sets.

Employer will accept any suitable combination of education, training or experience.

What we offer
We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary for this job is $169,229.00 per year. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
  • Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
  • Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
  • Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
  • Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
This particular position at Ernst & Young in the United States requires the qualified candidate to be a "United States worker" as defined by the U.S. Department of Labor regulations at 20 CFR 656.3. You can review this definition at https://www.gpo.gov/fdsys/pkg/CFR-2011-title20-vol3/pdf/CFR-2011-title20-vol3-sec656-3.pdf at the bottom of page 750. Please feel free to apply to other positions that do not require you to be a "U.S. worker".