At a Glance
- Tasks: Create interactive dashboards and analyze data across various product teams.
- Company: Join a dynamic team in Toronto with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible work arrangements, and opportunities for growth.
- Other info: Fast-paced environment with chances to work on multiple projects.
- Why this job: Dive into the world of big data and make impactful decisions.
- Qualifications: Expertise in SQL, Hadoop, and strong analytical skills required.
The predicted salary is between 78750 - 96250 $ per year.
Location: Toronto, ON (3 days a week hybrid)
Requirements and responsibilities
What you’ll do:
- Working with the Project teams, business stakeholders, technical SMEs, and Data Insights on a growing portfolio of interactive dashboards across many product teams.
- Create new datasets and sophisticated dashboards.
- Understand the data and business processes across all applications and data domains.
What you’ll bring:
- Must Have:
- Expert in SQL, Hadoop, BigData, Hive, NiFi.
- Strong experience in Azure Data Services analysis and BI Analysis.
- Ability to analyse the construction of existing reports and reverse engineer table relationships.
- Strong knowledge of the Retail Domain and experience with various stages of data warehouse projects, including data extraction, cleansing, aggregation, validation, transformation, and loading.
- Experience in using DataStage components such as Sequential File, Join, Sort, Merge, Lookup, Transformer, Remove Duplicates, Copy, Filter, Funnel, Dataset, Change Data Capture, and Aggregator.
- Strong at database commands (DDL and DML) and data warehousing implementation models.
- Hands-on experience with the Hadoop ecosystem, including HDFS, Hive, Sqoop, NiFi, and YARN.
- Familiar with Mainframe ESP for job scheduling.
- Understanding of branched development – dev, qa, prod etc.
- Passionate about data and its potential.
- An organized and self-starter approach to accomplish responsible work items.
- Strong communication skills with the ability to present complex messages and stories to both IT and Business.
- Business and data analysis skills to gather requirements and translate them to technical requirements.
- Be self-driven and can multi-task and work on multiple projects at the same time under tight deadlines.
- Ability to navigate ambiguity and simplify complex scenarios with keen business acumen.
- Experience of analyzing LOBs, databases, and writing scripts.
- Experience of connecting to additional sources such as Azure and MySQL.
Business Data Analyst in Toronto employer: MethodHub
Join a leading technology company that values innovation and collaboration, offering a dynamic work culture where your expertise in Guidewire can truly shine. With a focus on employee growth, we provide ample opportunities for professional development and career advancement, all while enjoying the vibrant lifestyle that Canada has to offer. Relocating from India? Experience a supportive environment that embraces diversity and fosters meaningful connections among colleagues.
We think you need these skills to ace Business Data Analyst in Toronto
SQL
Hadoop
Big Data
Hive
NiFi
Azure Data Services
Business Intelligence Analysis
