Senior Data Analyst

Senior Data Analyst

Job Number:

26-00743 Want to be part of the Energy Industry? ECLARO is looking for a Senior Data Analyst for our client in New York, NY. ECLARO's client operates one of the world's largest energy delivery systems, constantly at the forefront of innovations in developing technology. If you're up to the challenge, then take a chance at this rewarding opportunity!

Position Overview:

Designing and maintaining data.

Responsibilities:

Advanced Analytics & Machine Learning:

Design, develop, and optimize machine learning models (forecasting, classification, clustering). Apply data mining techniques to uncover patterns and insights in large datasets. Perform feature engineering, model validation, and performance tuning. Explore and deploy modern AI and ML approaches to enhance automation and analytics.

Data Preparation & Quality:

Prepare structured and unstructured data for modeling and advanced analysis. Develop scripts and tools for data cleansing, validation, and enrichment. Collaborate with Data Engineering to maintain efficient data pipelines. Identify data quality issues and propose remediation.

Analytics, Insights & Reporting:

Conduct deep-dive analyses to identify trends and improvement opportunities. Communicate complex findings in clear, concise ways to technical and non-technical stakeholders. Support the development of dashboards, metrics, and analytical solutions.

Cross-Team Collaboration:

Work with architects, engineers, and analysts to define analytical requirements. Contribute to conceptual data model design and workflow optimization. Promote best practices in machine learning, analytics, and data governance.

Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or related field. Strong experience in machine learning algorithms, predictive modeling, and data mining. Proficiency in PySpark, Python pandas (required) for data science workloads. Strong SQL (required) knowledge and experience with relational databases. Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices. Experience with Azure Databricks, Google Cloud, and modern data science libraries (e.g., scikit-learn, pandas, NumPy). Experience with GenAI and large language models. Ability to interpret complex datasets and produce actionable insights. Must know how to analyze the root cause of dashboard errors. Have experience in ML Ops and have strong coding background. Have experience with Natural Language Processing (NLP). Knowledge or experience with A / B Testing. Working knowledge of designing, training, and implementing machine learning models. Familiarity with cloud-based infrastructure. Excellent communication and problem-solving skills. 7 or more years of experience in data science and machine learning engineering.

Technical Skills:

Applied Machine Learning, Azure Databricks, Big Data Analytics, Databricks Certified Data Engineer Associate, Data Structures, Google Cloud Certified Machine Learning Engineer, Machine Learning Operations, Pandas Python Library, PySpark Preferred Skills:

Knowledge of statistical methods and experimental design. If hired, you will enjoy the following

ECLARO Benefits:

401k Retirement Savings Plan administered by Merrill Lynch Commuter Check Pretax Commuter Benefits Eligibility to purchase Medical, Dental & Vision Insurance through ECLARO If interested, you may contact: Ivy Española ivy.espanola@eclaro.com 201-942-3003 Ivy Española |

LinkedIn Equal Opportunity Employer:

ECLARO values diversity and does not discriminate based on Race, Color, Religion, Sex, Sexual Orientation, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status, in compliance with all applicable laws.