Data Analyst Developer Jobs

Participate in report development tasks liaising between business units, project manager, development team, DBA, and report architect.

Ensure that report development tasks meet business requirements and goals, fulfill end-user requirements, and identify and resolve systems issues.

Provide regular updates to the manager and the team on progress, emerging issues, and new opportunities. Attend daily BI standup.

5+ years experience with SQL

5+ years experience with SSRS

5+ years experience with 3rd normal form database methodology

Collaborate with cross-functional teams to understand data acquisition requirements and translate them into technical solutions.

Utilize your strong problem-solving skills to apply reverse-engineering techniques, extracting data from complex web applications efficiently and accurately.

Adapt quickly to evolving project requirements, while effectively prioritizing tasks to meet deadlines.

Strong problem-solving skills with the ability to tackle complex technical challenges.

Quick adaptability to changing project requirements and priorities.

Solid communication skills, both written and verbal.

Work with data analytics solution team to understand data requirements, Entity Relationship Diagram (ERD) and implementation of ETL logic

Design effective test strategy to validate end-to-end data quality based on data requirements and business needs

Proven experience in tuning databases and queries for optimal performance

Experience in programming languages used in data systems - Python or R or Java

Experience in ingesting data from various sources in formats such as JSON, XML, CSV, etc.

Experience in data visualisation tools such as Tableau, Power BI, etc.

10+ years experience with Java, along with strong experience using Spring Boot in recent projects

3+ years’ experience with Angular 2+

Working experience using Maven and Git

Foundational knowledge of SOLID principles

Job Duration: 06 plus months

Halt Deadline: Aug-17-23 (1:19 pm est)

We believe ownership drives engagement and offer equity in the form of stock options and yearly bonuses as incentives

You’ve been around the block and have 1-2 years of relevant work experience with Data Analysis or are a new grad

You’ve got strong working knowledge of statistical techniques (distributions, regressions, error bounds, etc.)

You’ve got experience with cloud database services such as AWS, InfluxDB

(Bonus) Experience in the rail industry….we geek out on trains…a lot :)

Our team is awesome. We’ve got a superb bunch of bright minds working together to create something amazing…impact and positive change

Participating in architecture and system design discussions and offering critical feedback

Working closely with Engineering Managers and Developers to find the best solutions for their data needs

Continuously improving our implementation as new requirements are discovered

4+ years of experience working with productive software engineering teams and writing high-quality software

Experience with any of the following technologies is a bonus: Apache Pulsar, Kubernetes, Operating data-platform’s at scale

Experience in monitoring and maintaining data pipelines for efficiency and smooth operation

Experience with workflow management using Apache Airflow.

Excellent analytical and problem-solving skills to translate complex business requirements into effective data models and data architecture solutions.

At least 5 years of experience in data warehouse development, data architecture, or a similar role.

Experience developing data pipelines to ingest data from relational SQL databases such as DB2, MySQL, PostgreSQL, and MSSQL.

Experience developing, optimizing, and maintaining data warehouse solutions in Snowflake.

Extensive experience working with AWS Cloud Services.

A university degree or college degree in related discipline or a combination of education, training and experience deemed equivalent.

A minimum of Five (5) years of experience with database (MS SQL, T-SQL, or Oracle PL-SQL) and BI development.

Strong experience in analyzing varying levels of business needs and developing appropriate data models.

Excellent analytical thinking skills for translating data into informative visuals and reports.

Ability to prioritize and manage multiple tasks in a fast-paced environment.

Specify data requirements for new projects and enhancement requests and produce technical specification documentation.

Follow IT Service Management best practices

Certifications and/or experience in the following areas would be considered an asset

Strong analytical skills to evaluate business requirements and translate business objectives into technical requirements.

Implement and configure custom built and/or packaged software to meet client requirements.

Document software and testing specifications and requirements.

1+ years’ experience as a Developer Analyst.

2 to 4 years of development experience within telecommunications or related domain.

Experience with agile methodology, code review process and version control

Highly motivated individual with superior organizational and analytical skills

Develop new features and optimize the code base for existing in-house tools used by RAN network engineering

Develop and automate reports, iteratively build, and prototype dashboards to provide insights at scale, solving for analytical needs

Develop and maintain team dashboards built on Power BI

1) 3+ years of experience developing with Sharepoint (InfoPath)

2) Solid working experience of SQL Server SSAS and SSIS

3) 3+ years working experience with PowerBI and Tableau

4) Hands on experience in designing, developing and successful deployment of large-scale projects from end-to-end

5) development experience in ELT (Extraction, Load and Transformation)

Role: Sharepoint Data Analyst / Reports Developer

Use Database knowledge in areas of import and export, users, roles, privileges, schema and object management, session monitoring, etc.

Apply strong performance tuning knowledge in SQL to interpret plans, identify bottlenecks in queries and remediate them.

Apply strong knowledge in Python and Shell Scripting required for file processing and database connections.

Embrace the opportunity to take on special projects outside of specific roles and responsibilities.

Contribute towards knowledge sharing initiatives across the team.

Good working knowledge of data warehouse, database and business intelligence environments, concepts, and techniques

Join an elite FinTech Firm hiring Software Engineers with an outstanding knowledge of Data/ETL pipelines.

You’ll Be Right At Home If You Have….

-Great communication skills – talk to other technologists, speak to data vendors.

-Python/SQL experience preferred (2-7 years)

Perks & Benefits You Will Get….

The firm emphasizes excellent technology as the key to their success.

Knowledge of SQL is an asset Candidate Requirements/Must-Have skills:

8+ years’ Data Analysis and Data Management experience

Working knowledge of Datastage, Informatica

Previous relatable financial institution experience in Credit risk, IFRS is an asset

4+ years’ experience with SAS Enterprise Guide (EG), including SAS macros

2+ years’ working experience with Unix and Linux commands

Five years in ETL tools, techniques, data warehousing, and metadata & quality management

Experience with modern data engineering tools in addition to strong relational database skills

Construct the production management and monitoring of data pipelines

Five years of experience in data modelling and data mining techniques

Hands-on experience in writing complex, highly-optimized SQL queries across large datasets; Experience of working with various scripting and programming languages

Strong analytical and problem-solving skills and well-versed with fundamental programming concepts and/or data structures and algorithms.

Completed University degree (preferably in computer science, information science, management information systems, business administration or finance) or equivalent working experience

-Devise and implement tools to automate and streamline processes that achieve efficiency for both business and finance users

Experience in the financial services or mutual fund industry would be an asset

4 years’ experience working with relational / multidimensional databases and SQL coding

Experience with cloud technologies (i.e. Snowflake, AWS)

Experience with enterprise reporting and dashboard applications (Business Objects is an asset, Tableau, PowerBI)