Analytics Implementation Engineer Jobs

Write Analytics Functional Documentation and supporting technical materials, gather end-user and customer requirements

Effective interpersonal and influencing skills

Develop, test, and deploy analytics that run 24x7 in the monitoring and diagnostic center.

Perform offline analytics studies using data-mining and statistical techniques to mitigate the fleet-wide risk of emerging issues.

Identify, calculate, and display key KPIs to provide better business insights into fleet operations.

Develop a trusted advocate relationship with customers.

Knowledge of and experience integrating with RESTful APIs using JSON

Knowledge of and experience with data migration

Excellent problem-solving skills, with the ability to analyze complex requirements and propose effective solutions.

Conduct detailed discovery sessions with customers to gather information about their specific needs, data structures, and integration requirements.

Assess customer requirements, develop implementation plans, and set clear expectations regarding timelines and deliverables.

Bachelor's degree in a relevant field or equivalent practical experience.

Undergraduate degree, or equivalent practical experience, in computer science, machine learning, software engineering, statistics or related field

Health insurance and medical coverage benefits

Opportunities for career and professional development with conferences, events, seminars, continued education

State of the art onsite gym (Corporate HQ)/Gym stipend for remote employees

Demonstrated understanding of the techniques and methods of modern product development

Demonstrated understanding of business analytics

Become an expert in Hospitality PMS (Property Management Systems) knowledge, documentation and challenges

Experience with S3, Windows Remote Desktop, Linux, AWS Transfer Family (or SFTP Models) Functionality

Produce and manage client-facing and internal technical documentation.

Ensure IN-Gauge is configured for the customer as per requirements.

Bachelors degree in Computer Science or related field, or equivalent experience

4+ years of experience working as a Software Implementation Engineer/Specialist in a SaaS environment or similar role

4+ years Production /Operations / Reservoir Engineering Experience in Oil & Gas

5-8 years of experience in Python/R

Experience in building custom solutions

Help build and deploy analytics solutions

Bachelor’s in petroleum engineering or equivalent

Experience with AWS or Azure product offerings and platform.

1+ years of professional data modeling and data warehousing development experience (SSIS, dbt, Matillion, or similar).

Strong professional experience with complex SQL and the principles data warehouse design.

1+ years of professional experience with cloud data warehousing technologies (Snowflake or Redshift).

BA/BS or higher in Computer Science, Information Systems, Math, other technical field, or relevant work experience.

1+ years of professional experience with Git and code reviews.

Suss out the blockers for a customer in adopting Prelim — and overcome them through content, education, product improvements, and training

Strong experience with REST & SOAP integrations

Experience with back-end technologies such as Node.js, Python, or Ruby

Experience with databases such as PostgreSQL

Strong problem-solving and analytical skills

Excellent communication and teamwork abilities

2+ years work experience in Analytics Engineering

Experience with BigQuery or Redshift or Snowflake

Experience working with AWS or GCP

Hands-on experience of analytical data warehouses/lakes using both distributed file systems and cloud-scale data processing systems

Experience building data integration frameworks to accelerate time to value on common integration challenges

Strong analytical and problem-solving skills

Strong SQL and Python skills and experience working with at least one cloud data warehouse like Snowflake, Big Query, or Redshift

Minimum 3 years of professional experience as an analytics engineer, data engineer, data scientist, or other data professional

Experience using BI tools like Sigma, Looker, Tableau, or Superset with data visualization best practices

Experience working with ERP, PLM, and/or MES systems is desirable but not required

Build, review, and optimize data models/transformations in our data warehouse

Work with our partner teams across Form to define and codify key business metrics

Knowledge/experience in one or several of algorithms for machine learning or controls (Multivariable Control, Model Predictive Control, Kalman Filters, Optimization) preferred.

Proficiency in Matlab, Simulink, Python, Osisoft PI and object-oriented programming (in one or combination), Power BI experience is a plus

Experience in chemical or petrochemical processes is an advantage

Experience modelling and simulation would be a plus

PTO time with a carry-over benefit

Candidate will assist in digitalization roadmap of the region production sites

Integrate new sources of data to enrich our analytical capabilities

Work with the engineering and product teams to ensure application design accommodates reporting and analytics requirements

At least 3 years of overall experience in data & analytics, operational analytics experience is desired;

Degree with analytics or software engineering experience or equivalent work experience;

Experience with cloud data warehouses such as Snowflake or similar;

Experience designing and creating SQL data models (dbt experience a plus);

Create dashboards and KPIs to help display business performance to management.

1-2 years of relevant work experience

Strong programming skills in SQL and Python, as well as proficiency in Tableau

Experience with using DBT/Airflow to build and own Data Pipelines in Snowflake

Strong relationship building and collaborative skills

Design, build and maintain data models used for reporting and analytics, using Airflow and DBT.

Create dashboards and KPIs to help display business performance to management.

1-2 years of relevant work experience

Strong programming skills in SQL and Python, as well as proficiency in Tableau

Experience with using DBT/Airflow to build and own Data Pipelines in Snowflake

Strong relationship building and collaborative skills

Design, build and maintain data models used for reporting and analytics, using Airflow and DBT.

Annual performance appraisal and bonus

Not applicable for contractors or temporary employees.

At Gopuff, we know that life can be unpredictable.

3+ years of experience implementing and configuring SaaS solutions for clients

Strong technical skills in SaaS technologies (Salesforce required)

Experience with cloud-based systems and integrations

Experience with Salesforce flow automation

Excellent communication and interpersonal skills

Strong problem-solving and analytical skills

Align with other IT and data teams to ensure adherence to data management and data governance requirements

Strong project management and organizational skills.

Strong SQL knowledge with experience working with technologies such as Databricks, Snowflake, SQL Server, NoSQL, PostgreSQL, Redshift, MySQL etc.

Bachelor's Degree in Computer Science or a related field or 2-5 years of experience in a similar role

Experience in Python, R, Scala and other languages preferred

Advanced experience working with visualization tools such as Tableau, PowerBI, etc.

You have requirement gathering experience and know how to use white boarding techniques to map business processes

You have experience and a passion for data modelling, ETL projects

You have very strong SQL skills

You have proven experience in terms of working with cloud data platform at previous companies

You have experience with BI tools / platforms such as Microstrategy, Tableau, or Looker

Any experience working within a previous (consumer) tech company

Integrate new sources of data to enrich our analytical capabilities

Work with the engineering and product teams to ensure application design accommodates reporting and analytics requirements

At least 3 years of overall experience in data & analytics, operational analytics experience is desired;

Degree with analytics or software engineering experience or equivalent work experience;

Experience with cloud data warehouses such as Snowflake or similar;

Experience designing and creating SQL data models (dbt experience a plus);

Develop user stories, acceptance criteria, BRD, solution designs, tagging plans, and other artifacts to support the development of analytics capabilities.

Analyze and interpret data to provide insights and recommendations for improving web performance, user experience, and business outcomes.

Minimum 3 years of experience in web analytics implementation, with a focus on digital marketing, e-commerce, or customer experience optimization.

Agency or consultancy experience required.

Knowledge about Agile product development environment, with a deep understanding of Scrum, Kanban, or other Agile methodologies.

Knowledge in structuring JavaScript objects (dataLayer, digitalData, uTag etc..) and JavaScript Object Notation (JSON)

Solid written and verbal communication, time management and organizational skills

Required Education, Experience, and Skills

Ensure project documents are completed correctly and stored according to Mach7 Quality Management guidelines.

Experience working with Project Managers, PACS Administrators, Interface Engineers and Network Administrators in a healthcare environment.

Manage multiple enterprise software implementations concurrently.

Perform installation, configuration, and validation of Mach 7 solutions remotely as part of the Professional Services project team.