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What does a senior data analyst- do?

Updated January 8, 2025
7 min read
Quoted expert
Erik Johnson Ph.D.
What does a senior data analyst- do

The role of a senior data analyst is to oversee and conduct data conversion into insights leading to informed business decisions. Senior data analysts work directly with the top management and executives and stakeholders of businesses. Their duties and responsibilities include data collection and interpretation, data set pattern and trend identification, and business management. Skills in leadership, management, technicalities, data management, and data analysis are a must in this job. They should also develop their communication skills and attention to detail.

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Senior data analyst- responsibilities

Here are examples of responsibilities from real senior data analyst- resumes:

  • Manage and provide oversight for 3rd party service provider (Genpact) for MDM and OTC activities.
  • Manage daily operations relating to data extraction and reconciliation from software applications.
  • Create programming specifications that are used to automate financial reports with macros.
  • Schedule, manage, elicit and communicate requirements through JAD and requirements sessions.
  • Collaborate with project manager in tracking and managing project development process following SDLC methodology.
  • Gather and manage Business/ Stakeholder/ functional requirements through the complete SDLC, using iterative project methodology.
  • Review test plans and scripts, facilitate user acceptance testing (UAT) and test strategies with developers and testers.
  • Develop fully automate SAS base infrastructure to support campaign execution for new digital marketing channels.
  • Perform detail data analysis, including data profiling, system source analysis and auditing under strict tolerance levels.
  • Support for both AWS and Openstack.
  • Involve in installing EMR clusters on AWS.
  • Generate snowflake, models through dimension modeling.
  • Apply finance and math skills to allocate campus department costs.
  • Function as DBA, data architect, and web developer.
  • Use HBase for performing fast updates and low latency data access.

Senior data analyst- skills and personality traits

We calculated that 11% of Senior Data Analysts are proficient in Data Analysis, Power Bi, and Visualization. They’re also known for soft skills such as Creativity, Analytical skills, and Communication skills.

We break down the percentage of Senior Data Analysts that have these skills listed on their resume here:

  • Data Analysis, 11%

    Performed Participating/Non-participating provider data analysis.

  • Power Bi, 10%

    Create reports in Power BI preview portal utilizing the SSAS Tabular via Analysis connector.

  • Visualization, 9%

    Developed complex algorithms and advanced (undocumented) tableau visualization techniques that were successfully integrated into Tableau dashboard models.

  • Dashboards, 6%

    Translate business requirements into specification that are used to implement required reports and dashboards, created from potentially multiple data source.

  • SAS, 5%

    Developed fully automated SAS based infrastructure to support campaign execution for new digital marketing channels.

  • BI, 4%

    Worked in BI team to fulfill the needs of regulatory/management/finance/loss mitigation/fraud reporting and 10Q.

"data analysis," "power bi," and "visualization" are among the most common skills that senior data analysts use at work. You can find even more senior data analyst- responsibilities below, including:

Creativity. The most essential soft skill for a senior data analyst- to carry out their responsibilities is creativity. This skill is important for the role because "because analysts are tasked with finding innovative solutions to computer problems, an ability to “think outside the box” is important." Additionally, a senior data analyst- resume shows how their duties depend on creativity: "created templates for the inventory metrics analysis and pivot tables/charts for sales analysis using excel and vba. "

Analytical skills. Another soft skill that's essential for fulfilling senior data analyst- duties is analytical skills. The role rewards competence in this skill because "analysts must interpret complex information from various sources and decide the best way to move forward on a project." According to a senior data analyst- resume, here's how senior data analysts can utilize analytical skills in their job responsibilities: "collaborated in building a business analysis process model using rational rose, requisitepro, and visio. "

Communication skills. This is an important skill for senior data analysts to perform their duties. For an example of how senior data analyst- responsibilities depend on this skill, consider that "analysts work as a go-between with management and the it department and must explain complex issues in a way that both will understand." This excerpt from a resume also shows how vital it is to everyday roles and responsibilities of a senior data analyst-: "produced data analysis, data quality and data relationship communications standards documents. ".

All senior data analyst- skills

The three companies that hire the most senior data analyst-s are:

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Compare different senior data analysts

Senior data analyst- vs. Analyst lead

The duties of an analyst lead depend on one's line of work or industry of employment. Typically, their responsibilities revolve around performing research and analysis, coordinating with different departments to gather leads and data, reviewing findings, and producing reports and presentations for the stakeholders and other higher-ranking officials. Through the results, an analyst lead can provide advice, devise strategies for business optimization, spearhead the development of processes, identify strengths and weaknesses, and offer recommendations on areas in need of improvement. All of this is done while in adherence to the company's vision and mission.

We looked at the average senior data analyst- salary and compared it with the wages of an analyst lead. Generally speaking, analyst leads are paid $3,679 higher than senior data analysts per year.While their salaries may differ, the common ground between senior data analysts and analyst leads are a few of the skills required in each roleacirc;euro;trade;s responsibilities. In both careers, employee duties involve skills like data analysis, power bi, and visualization.

While similarities exist, there are also some differences between senior data analysts and analyst lead. For instance, senior data analyst- responsibilities require skills such as "dashboards," "statistical analysis," "hadoop," and "data governance." Whereas a analyst lead is skilled in "analytics," "project management," "customer service," and "cloud security." This is part of what separates the two careers.

Analyst leads tend to make the most money working in the finance industry, where they earn an average salary of $110,488. In contrast, senior data analysts make the biggest average salary, $96,561, in the government industry.On average, analyst leads reach similar levels of education than senior data analysts. Analyst leads are 2.0% less likely to earn a Master's Degree and 0.3% less likely to graduate with a Doctoral Degree.

Senior data analyst- vs. Lead system analyst

A lead system analyst is someone who designs and analyzes existing systems used in a company. The person getting this position is tasked with reviewing all existing business processes, providing suggestions for improvements, and requesting upgrades. This position is vital for many businesses, especially ones focused on rapid business processing activities. Alongside this primary role, the lead system analyst also guides clients on the proper course of business systems and what changes are necessary to maximize the business's potential for success.

On average, lead system analysts earn a $14,976 higher salary than senior data analysts a year.Only some things about these jobs are the same. Take their skills, for example. Senior data analysts and lead system analysts both require similar skills like "data analysis," "sas," and "etl" to carry out their responsibilities.

While some skills are similar in these professions, other skills aren't so similar. For example, resumes show us that senior data analyst- responsibilities requires skills like "power bi," "visualization," "dashboards," and "bi." But a lead system analyst might use other skills in their typical duties, such as, "project management," "architecture," "c #," and "system design."

Lead system analysts earn a higher average salary than senior data analysts. But lead system analysts earn the highest pay in the retail industry, with an average salary of $109,463. Additionally, senior data analysts earn the highest salaries in the government with average pay of $96,561 annually.Average education levels between the two professions vary. Lead system analysts tend to reach similar levels of education than senior data analysts. In fact, they're 3.5% less likely to graduate with a Master's Degree and 0.3% less likely to earn a Doctoral Degree.

What technology do you think will become more important and prevalent for senior data analyst-s in the next 3-5 years?

Erik Johnson Ph.D.Erik Johnson Ph.D. LinkedIn profile

Assistant Professor of Economics, Carthage College

Two technologies are likely to become more critical in the next 3-5 years: First, much more videoconferencing and remote meetings are likely here to stay. Be sure you can communicate effectively through these mediums. Secondly, using large amounts of numerical and textual data will become increasingly crucial for businesses and policy analysis. Learning how to sift through these data and glean insights from them are likely essential skills to develop and will allow you to grow in your career.

Senior data analyst- vs. Business systems senior analyst

Business systems senior analysts are responsible for resolving problems and requirements related to organizational information. They perform various duties that include determining operational objectives, designing computer programs, and improving business systems by designing modifications and studying current practices. Additionally, they are responsible for defining project requirements, maintaining user confidence and information confidentiality, and preparing technical reports. These professionals are also expected to maintain their knowledge by participating in professional associations or attending educational workshops. The skills and qualifications required for this position include previous work experience, software design and development, and problem-solving skills.

On average scale, business systems senior analysts bring in higher salaries than senior data analysts. In fact, they earn a $11,513 higher salary per year.By looking over several senior data analysts and business systems senior analysts resumes, we found that both roles require similar skills in their day-to-day duties, such as "data analysis," "power bi," and "visualization." But beyond that, the careers look very different.

There are many key differences between these two careers, including some of the skills required to perform responsibilities within each role. For example, a senior data analyst- is likely to be skilled in "dashboards," "sas," "statistical analysis," and "hadoop," while a typical business systems senior analyst is skilled in "project management," "business process," "scrum," and "business stakeholders."

Business systems senior analysts earn the highest salary when working in the health care industry, where they receive an average salary of $108,902. Comparatively, senior data analysts have the highest earning potential in the government industry, with an average salary of $96,561.When it comes to education, business systems senior analysts tend to earn similar degree levels compared to senior data analysts. In fact, they're 1.6% more likely to earn a Master's Degree, and 1.1% more likely to graduate with a Doctoral Degree.

Senior data analyst- vs. Information analyst

Information Analysts are employees who collect data and analyze the information from the data they collected. They are usually found in companies with information technology departments. They collect network, software, or hardware performance data and analyze these data. The data that Information Analysts collect would help in identifying and anticipating problems in the system. As such, they will be able to troubleshoot and provide a sound analysis of the systems and networks. They would then be able to give recommendations to address problems, based on what they analyzed.

Information analysts tend to earn a lower pay than senior data analysts by an average of $15,652 per year.According to resumes from senior data analysts and information analysts, some of the skills necessary to complete the responsibilities of each role are similar. These skills include "data analysis," "sas," and "statistical analysis. "

Even though a few skill sets overlap between senior data analysts and information analysts, there are some differences that are important to note. For one, a senior data analyst- might have more use for skills like "power bi," "visualization," "dashboards," and "bi." Meanwhile, some responsibilities of information analysts require skills like "data entry," "work ethic," "strong work ethic," and "project management. "

Information analysts enjoy the best pay in the technology industry, with an average salary of $86,848. For comparison, senior data analysts earn the highest salary in the government industry.information analysts reach lower levels of education compared to senior data analysts, in general. The difference is that they're 8.3% more likely to earn a Master's Degree, and 0.5% less likely to graduate with a Doctoral Degree.

Types of senior data analyst-

Updated January 8, 2025

Zippia Research Team
Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

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