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Description review

BA/DA_Remote job

Dikshatek · Vietnam · back to the listing

HR standards

38/100

poor

Title ↔ description

54/100

needs work

Reads as

Data Analyst

97% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
  • No location or timezone policy stated, so a candidate cannot tell where they may work from. Scope clarity

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Requirements:

Bachelors degree in business, design, computer science, engineering, analytical/numerical subject or equivalent experience.

Effective Communication: Fluent in English.

Have strong analytical and problem-solving skills, to deliver high quality solutions to clients.

3-5 years experience supporting products as a business or data analyst with at least one entire product development cycle from concept to introduction.

Experienced with agile and scrum methodologies and ways of working and waterfall methodology. CSM Certification preferred.

Experienced with data modelling, data cleansing, handling schemas and identification of relevant data attributes.

Experienced with predictive modelling, statistics, and heavy focus on segmentation techniques.

Knowledge in Data Science or Data Analytics teams/projects.

Experience in working with external-facing products.

Experience working closely with cross-functional teams to define and drive product strategy and roadmap.

Adept in handling business changes and managing client expectations.

Provide comprehensive document of changes, coordinate user testing, user training.

Effective management of tasks, timelines, progress reporting on tasks.

Able to liaise with other teams to resolve cross functional issues.

Self-motivated, thrives in a fast-paced environment with a high degree of ownership and accountability.

Possess strong storytelling and communications skills through Microsoft Powerpoint, Word, or equivalent.

Google cloud and native analytics tools knowledge.

Strong analytical skills and attention to detail.

Experience in building data products and services.

Experience with SQL, Python, or any analytical tools necessary to work with large amounts of data.

Knowledge and prior hands-on experience in data visualization tools such as Microsoft Power BI, Tableau, Looker.

Passionate about Health Tech.

Originally posted on Himalayas